[
    {
        "_id": 0,
        "text": "Minimally Supervised Learning of Affective Events Using Discourse Relations"
    },
    {
        "_id": 1,
        "text": "PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry"
    },
    {
        "_id": 2,
        "text": "Community Identity and User Engagement in a Multi-Community Landscape"
    },
    {
        "_id": 3,
        "text": "Question Answering based Clinical Text Structuring Using Pre-trained Language Model"
    },
    {
        "_id": 4,
        "text": "Progress and Tradeoffs in Neural Language Models"
    },
    {
        "_id": 5,
        "text": "Stay On-Topic: Generating Context-specific Fake Restaurant Reviews"
    },
    {
        "_id": 6,
        "text": "Saliency Maps Generation for Automatic Text Summarization"
    },
    {
        "_id": 7,
        "text": "Probabilistic Bias Mitigation in Word Embeddings"
    },
    {
        "_id": 8,
        "text": "Massive vs. Curated Word Embeddings for Low-Resourced Languages. The Case of Yor\\`ub\\'a and Twi"
    },
    {
        "_id": 9,
        "text": "Is there Gender bias and stereotype in Portuguese Word Embeddings?"
    },
    {
        "_id": 10,
        "text": "Citation Data of Czech Apex Courts"
    },
    {
        "_id": 11,
        "text": "LAXARY: A Trustworthy Explainable Twitter Analysis Model for Post-Traumatic Stress Disorder Assessment"
    },
    {
        "_id": 12,
        "text": "Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision"
    },
    {
        "_id": 13,
        "text": "UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages"
    },
    {
        "_id": 14,
        "text": "Word Sense Disambiguation for 158 Languages using Word Embeddings Only"
    },
    {
        "_id": 15,
        "text": "Spoken Language Identification using ConvNets"
    },
    {
        "_id": 16,
        "text": "Unsupervised Bilingual Lexicon Induction from Mono-lingual Multimodal Data"
    },
    {
        "_id": 17,
        "text": "AraNet: A Deep Learning Toolkit for Arabic Social Media"
    },
    {
        "_id": 18,
        "text": "Generative Adversarial Nets for Multiple Text Corpora"
    },
    {
        "_id": 19,
        "text": "Stacked DeBERT: All Attention in Incomplete Data for Text Classification"
    },
    {
        "_id": 20,
        "text": "Gunrock: A Social Bot for Complex and Engaging Long Conversations"
    },
    {
        "_id": 21,
        "text": "Towards Detection of Subjective Bias using Contextualized Word Embeddings"
    },
    {
        "_id": 22,
        "text": "Sentence-Level Fluency Evaluation: References Help, But Can Be Spared!"
    },
    {
        "_id": 23,
        "text": "An empirical study on the effectiveness of images in Multimodal Neural Machine Translation"
    },
    {
        "_id": 24,
        "text": "Unsupervised Machine Commenting with Neural Variational Topic Model"
    },
    {
        "_id": 25,
        "text": "Enriching BERT with Knowledge Graph Embeddings for Document Classification"
    },
    {
        "_id": 26,
        "text": "Diachronic Topics in New High German Poetry"
    },
    {
        "_id": 27,
        "text": "Important Attribute Identification in Knowledge Graph"
    },
    {
        "_id": 28,
        "text": "Diversity, Density, and Homogeneity: Quantitative Characteristic Metrics for Text Collections"
    },
    {
        "_id": 29,
        "text": "What Drives the International Development Agenda? An NLP Analysis of the United Nations General Debate 1970-2016"
    },
    {
        "_id": 30,
        "text": "QnAMaker: Data to Bot in 2 Minutes"
    },
    {
        "_id": 31,
        "text": "A simple discriminative training method for machine translation with large-scale features"
    },
    {
        "_id": 32,
        "text": "Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses"
    },
    {
        "_id": 33,
        "text": "DisSim: A Discourse-Aware Syntactic Text Simplification Frameworkfor English and German"
    },
    {
        "_id": 34,
        "text": "Learning Word Embeddings from the Portuguese Twitter Stream: A Study of some Practical Aspects"
    },
    {
        "_id": 35,
        "text": "Procedural Reasoning Networks for Understanding Multimodal Procedures"
    },
    {
        "_id": 36,
        "text": "Active Learning for Chinese Word Segmentation in Medical Text"
    },
    {
        "_id": 37,
        "text": "InScript: Narrative texts annotated with script information"
    },
    {
        "_id": 38,
        "text": "Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications"
    },
    {
        "_id": 39,
        "text": "Learning Supervised Topic Models for Classification and Regression from Crowds"
    },
    {
        "_id": 40,
        "text": "CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset"
    },
    {
        "_id": 41,
        "text": "BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance"
    },
    {
        "_id": 42,
        "text": "Joint Entity Linking with Deep Reinforcement Learning"
    },
    {
        "_id": 43,
        "text": "Classification Betters Regression in Query-based Multi-document Summarisation Techniques for Question Answering: Macquarie University at BioASQ7b"
    },
    {
        "_id": 44,
        "text": "Marrying Universal Dependencies and Universal Morphology"
    },
    {
        "_id": 45,
        "text": "Towards Multimodal Emotion Recognition in German Speech Events in Cars using Transfer Learning"
    },
    {
        "_id": 46,
        "text": "Revisiting Low-Resource Neural Machine Translation: A Case Study"
    },
    {
        "_id": 47,
        "text": "Facilitating on-line opinion dynamics by mining expressions of causation. The case of climate change debates on The Guardian"
    },
    {
        "_id": 48,
        "text": "\"Hinglish\"Language -- Modeling a Messy Code-Mixed Language"
    },
    {
        "_id": 49,
        "text": "How Language-Neutral is Multilingual BERT?"
    },
    {
        "_id": 50,
        "text": "CAiRE: An End-to-End Empathetic Chatbot"
    },
    {
        "_id": 51,
        "text": "Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?"
    },
    {
        "_id": 52,
        "text": "Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference"
    },
    {
        "_id": 53,
        "text": "Exploring Question Understanding and Adaptation in Neural-Network-Based Question Answering"
    },
    {
        "_id": 54,
        "text": "SUM-QE: a BERT-based Summary Quality Estimation Model"
    },
    {
        "_id": 55,
        "text": "Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction"
    },
    {
        "_id": 56,
        "text": "Machine Translation from Natural Language to Code using Long-Short Term Memory"
    },
    {
        "_id": 57,
        "text": "A Survey and Taxonomy of Adversarial Neural Networks for Text-to-Image Synthesis"
    },
    {
        "_id": 58,
        "text": "Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study"
    },
    {
        "_id": 59,
        "text": "Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction"
    },
    {
        "_id": 60,
        "text": "Learning to Rank Scientific Documents from the Crowd"
    },
    {
        "_id": 61,
        "text": "Exploiting Deep Learning for Persian Sentiment Analysis"
    },
    {
        "_id": 62,
        "text": "Talk the Walk: Navigating New York City through Grounded Dialogue"
    },
    {
        "_id": 63,
        "text": "Real-time Claim Detection from News Articles and Retrieval of Semantically-Similar Factchecks"
    },
    {
        "_id": 64,
        "text": "RC-QED: Evaluating Natural Language Derivations in Multi-Hop Reading Comprehension"
    },
    {
        "_id": 65,
        "text": "Event Outcome Prediction using Sentiment Analysis and Crowd Wisdom in Microblog Feeds"
    },
    {
        "_id": 66,
        "text": "Learning High-order Structural and Attribute information by Knowledge Graph Attention Networks for Enhancing Knowledge Graph Embedding"
    },
    {
        "_id": 67,
        "text": "A Computational Approach to Automatic Prediction of Drunk Texting"
    },
    {
        "_id": 68,
        "text": "Answering Complex Questions Using Open Information Extraction"
    },
    {
        "_id": 69,
        "text": "An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages"
    },
    {
        "_id": 70,
        "text": "Quasar: Datasets for Question Answering by Search and Reading"
    },
    {
        "_id": 71,
        "text": "Error Analysis for Vietnamese Named Entity Recognition on Deep Neural Network Models"
    },
    {
        "_id": 72,
        "text": "Recurrent Neural Network Encoder with Attention for Community Question Answering"
    },
    {
        "_id": 73,
        "text": "Attentional Encoder Network for Targeted Sentiment Classification"
    },
    {
        "_id": 74,
        "text": "ThisIsCompetition at SemEval-2019 Task 9: BERT is unstable for out-of-domain samples"
    },
    {
        "_id": 75,
        "text": "DENS: A Dataset for Multi-class Emotion Analysis"
    },
    {
        "_id": 76,
        "text": "Multitask Learning with CTC and Segmental CRF for Speech Recognition"
    },
    {
        "_id": 77,
        "text": "Filling Gender&Number Gaps in Neural Machine Translation with Black-box Context Injection"
    },
    {
        "_id": 78,
        "text": "Exploring End-to-End Techniques for Low-Resource Speech Recognition"
    },
    {
        "_id": 79,
        "text": "Tag-based Multi-Span Extraction in Reading Comprehension"
    },
    {
        "_id": 80,
        "text": "Transfer Learning Between Related Tasks Using Expected Label Proportions"
    },
    {
        "_id": 81,
        "text": "The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection"
    },
    {
        "_id": 82,
        "text": "Hierarchical Multi-Task Natural Language Understanding for Cross-domain Conversational AI: HERMIT NLU"
    },
    {
        "_id": 83,
        "text": "Interactive Machine Comprehension with Information Seeking Agents"
    },
    {
        "_id": 84,
        "text": "Exploring Hate Speech Detection in Multimodal Publications"
    },
    {
        "_id": 85,
        "text": "Self-Taught Convolutional Neural Networks for Short Text Clustering"
    },
    {
        "_id": 86,
        "text": "Solving Arithmetic Word Problems Automatically Using Transformer and Unambiguous Representations"
    },
    {
        "_id": 87,
        "text": "What Do You Mean I'm Funny? Personalizing the Joke Skill of a Voice-Controlled Virtual Assistant"
    },
    {
        "_id": 88,
        "text": "A Measure of Similarity in Textual Data Using Spearman's Rank Correlation Coefficient"
    },
    {
        "_id": 89,
        "text": "CamemBERT: a Tasty French Language Model"
    },
    {
        "_id": 90,
        "text": "Vocabulary-based Method for Quantifying Controversy in Social Media"
    },
    {
        "_id": 91,
        "text": "Semantic Sentiment Analysis of Twitter Data"
    },
    {
        "_id": 92,
        "text": "COSTRA 1.0: A Dataset of Complex Sentence Transformations"
    },
    {
        "_id": 93,
        "text": "Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization"
    },
    {
        "_id": 94,
        "text": "A Deep Neural Architecture for Sentence-level Sentiment Classification in Twitter Social Networking"
    },
    {
        "_id": 95,
        "text": "Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding"
    },
    {
        "_id": 96,
        "text": "Learning with Noisy Labels for Sentence-level Sentiment Classification"
    },
    {
        "_id": 97,
        "text": "Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange"
    },
    {
        "_id": 98,
        "text": "CN-CELEB: a challenging Chinese speaker recognition dataset"
    },
    {
        "_id": 99,
        "text": "Conditional BERT Contextual Augmentation"
    },
    {
        "_id": 100,
        "text": "Recent Advances in Neural Question Generation"
    },
    {
        "_id": 101,
        "text": "Open Named Entity Modeling from Embedding Distribution"
    },
    {
        "_id": 102,
        "text": "Efficient Twitter Sentiment Classification using Subjective Distant Supervision"
    },
    {
        "_id": 103,
        "text": "Dynamic Memory Networks for Visual and Textual Question Answering"
    },
    {
        "_id": 104,
        "text": "Low-Level Linguistic Controls for Style Transfer and Content Preservation"
    },
    {
        "_id": 105,
        "text": "Fusing Visual, Textual and Connectivity Clues for Studying Mental Health"
    },
    {
        "_id": 106,
        "text": "Incorporating Sememes into Chinese Definition Modeling"
    },
    {
        "_id": 107,
        "text": "RobBERT: a Dutch RoBERTa-based Language Model"
    },
    {
        "_id": 108,
        "text": "Natural Language State Representation for Reinforcement Learning"
    },
    {
        "_id": 109,
        "text": "Query-oriented text summarization based on hypergraph transversals"
    },
    {
        "_id": 110,
        "text": "Text-based inference of moral sentiment change"
    },
    {
        "_id": 111,
        "text": "Bringing Stories Alive: Generating Interactive Fiction Worlds"
    },
    {
        "_id": 112,
        "text": "Generating Classical Chinese Poems from Vernacular Chinese"
    },
    {
        "_id": 113,
        "text": "Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever"
    },
    {
        "_id": 114,
        "text": "From FiLM to Video: Multi-turn Question Answering with Multi-modal Context"
    },
    {
        "_id": 115,
        "text": "Civique: Using Social Media to Detect Urban Emergencies"
    },
    {
        "_id": 116,
        "text": "Can neural networks understand monotonicity reasoning?"
    },
    {
        "_id": 117,
        "text": "Enriching Existing Conversational Emotion Datasets with Dialogue Acts using Neural Annotators."
    },
    {
        "_id": 118,
        "text": "Synchronising audio and ultrasound by learning cross-modal embeddings"
    },
    {
        "_id": 119,
        "text": "Basic tasks of sentiment analysis"
    },
    {
        "_id": 120,
        "text": "Generalisation in Named Entity Recognition: A Quantitative Analysis"
    },
    {
        "_id": 121,
        "text": "wav2vec: Unsupervised Pre-training for Speech Recognition"
    },
    {
        "_id": 122,
        "text": "Cross-lingual, Character-Level Neural Morphological Tagging"
    },
    {
        "_id": 123,
        "text": "Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping"
    },
    {
        "_id": 124,
        "text": "Visual Natural Language Query Auto-Completion for Estimating Instance Probabilities"
    },
    {
        "_id": 125,
        "text": "Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation"
    },
    {
        "_id": 126,
        "text": "Analysis of Risk Factor Domains in Psychosis Patient Health Records"
    },
    {
        "_id": 127,
        "text": "Morphological Word Segmentation on Agglutinative Languages for Neural Machine Translation"
    },
    {
        "_id": 128,
        "text": "Deja-vu: Double Feature Presentation and Iterated Loss in Deep Transformer Networks"
    },
    {
        "_id": 129,
        "text": "Acquisition of Inflectional Morphology in Artificial Neural Networks With Prior Knowledge"
    },
    {
        "_id": 130,
        "text": "How Does Language Influence Documentation Workflow? Unsupervised Word Discovery Using Translations in Multiple Languages"
    },
    {
        "_id": 131,
        "text": "Dense Information Flow for Neural Machine Translation"
    },
    {
        "_id": 132,
        "text": "Frozen Binomials on the Web: Word Ordering and Language Conventions in Online Text"
    },
    {
        "_id": 133,
        "text": "Casting Light on Invisible Cities: Computationally Engaging with Literary Criticism"
    },
    {
        "_id": 134,
        "text": "Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation"
    },
    {
        "_id": 135,
        "text": "Siamese recurrent networks learn first-order logic reasoning and exhibit zero-shot compositional generalization"
    },
    {
        "_id": 136,
        "text": "A Simple Method for Commonsense Reasoning"
    },
    {
        "_id": 137,
        "text": "Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology"
    },
    {
        "_id": 138,
        "text": "Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study"
    },
    {
        "_id": 139,
        "text": "Investigating Linguistic Pattern Ordering in Hierarchical Natural Language Generation"
    },
    {
        "_id": 140,
        "text": "Deep Enhanced Representation for Implicit Discourse Relation Recognition"
    },
    {
        "_id": 141,
        "text": "Detecting Potential Topics In News Using BERT, CRF and Wikipedia"
    },
    {
        "_id": 142,
        "text": "Gender Bias in Coreference Resolution"
    },
    {
        "_id": 143,
        "text": "How Far are We from Effective Context Modeling ? An Exploratory Study on Semantic Parsing in Context"
    },
    {
        "_id": 144,
        "text": "A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis"
    },
    {
        "_id": 145,
        "text": "HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization"
    },
    {
        "_id": 146,
        "text": "Shallow Discourse Annotation for Chinese TED Talks"
    },
    {
        "_id": 147,
        "text": "The Role of Pragmatic and Discourse Context in Determining Argument Impact"
    },
    {
        "_id": 148,
        "text": "Textual Data for Time Series Forecasting"
    },
    {
        "_id": 149,
        "text": "Emotion helps Sentiment: A Multi-task Model for Sentiment and Emotion Analysis"
    },
    {
        "_id": 150,
        "text": "Mapping (Dis-)Information Flow about the MH17 Plane Crash"
    },
    {
        "_id": 151,
        "text": "Conversational Intent Understanding for Passengers in Autonomous Vehicles"
    },
    {
        "_id": 152,
        "text": "Increasing the Interpretability of Recurrent Neural Networks Using Hidden Markov Models"
    },
    {
        "_id": 153,
        "text": "Predictive Embeddings for Hate Speech Detection on Twitter"
    },
    {
        "_id": 154,
        "text": "Incorporating Discrete Translation Lexicons into Neural Machine Translation"
    },
    {
        "_id": 155,
        "text": "Crowdsourcing a High-Quality Gold Standard for QA-SRL"
    },
    {
        "_id": 156,
        "text": "Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation"
    },
    {
        "_id": 157,
        "text": "An Analysis of Visual Question Answering Algorithms"
    },
    {
        "_id": 158,
        "text": "Imitation Learning of Robot Policies by Combining Language, Vision and Demonstration"
    },
    {
        "_id": 159,
        "text": "Overcoming the Rare Word Problem for Low-Resource Language Pairs in Neural Machine Translation"
    },
    {
        "_id": 160,
        "text": "A framework for anomaly detection using language modeling, and its applications to finance"
    },
    {
        "_id": 161,
        "text": "What Gets Echoed? Understanding the\"Pointers\"in Explanations of Persuasive Arguments"
    },
    {
        "_id": 162,
        "text": "Automating Reading Comprehension by Generating Question and Answer Pairs"
    },
    {
        "_id": 163,
        "text": "Automatic Reminiscence Therapy for Dementia."
    },
    {
        "_id": 164,
        "text": "Lattice CNNs for Matching Based Chinese Question Answering"
    },
    {
        "_id": 165,
        "text": "On the coexistence of competing languages"
    },
    {
        "_id": 166,
        "text": "Speaker-independent classification of phonetic segments from raw ultrasound in child speech"
    },
    {
        "_id": 167,
        "text": "A Multi-Turn Emotionally Engaging Dialog Model"
    },
    {
        "_id": 168,
        "text": "Information Extraction in Illicit Domains"
    },
    {
        "_id": 169,
        "text": "Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and L2-L1 Parallel Data"
    },
    {
        "_id": 170,
        "text": "Interpretable Visual Question Answering by Visual Grounding from Attention Supervision Mining"
    },
    {
        "_id": 171,
        "text": "Testing the Generalization Power of Neural Network Models Across NLI Benchmarks"
    },
    {
        "_id": 172,
        "text": "VAIS Hate Speech Detection System: A Deep Learning based Approach for System Combination"
    },
    {
        "_id": 173,
        "text": "Yoga-Veganism: Correlation Mining of Twitter Health Data"
    },
    {
        "_id": 174,
        "text": "Joint Learning of Sentence Embeddings for Relevance and Entailment"
    },
    {
        "_id": 175,
        "text": "MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning"
    },
    {
        "_id": 176,
        "text": "Aspect Term Extraction with History Attention and Selective Transformation"
    },
    {
        "_id": 177,
        "text": "Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset"
    },
    {
        "_id": 178,
        "text": "Using word embeddings to improve the discriminability of co-occurrence text networks"
    },
    {
        "_id": 179,
        "text": "e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations"
    },
    {
        "_id": 180,
        "text": "An Analysis of Word2Vec for the Italian Language"
    },
    {
        "_id": 181,
        "text": "Improving Character-based Decoding Using Target-Side Morphological Information for Neural Machine Translation"
    },
    {
        "_id": 182,
        "text": "Learning Twitter User Sentiments on Climate Change with Limited Labeled Data"
    },
    {
        "_id": 183,
        "text": "A multimodal deep learning approach for named entity recognition from social media"
    },
    {
        "_id": 184,
        "text": "Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization"
    },
    {
        "_id": 185,
        "text": "Domain Adaptation of Recurrent Neural Networks for Natural Language Understanding"
    },
    {
        "_id": 186,
        "text": "Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models"
    },
    {
        "_id": 187,
        "text": "What we write about when we write about causality: Features of causal statements across large-scale social discourse"
    },
    {
        "_id": 188,
        "text": "Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain Factoid Question Answering"
    },
    {
        "_id": 189,
        "text": "Unsupervised Ranking Model for Entity Coreference Resolution"
    },
    {
        "_id": 190,
        "text": "The First Evaluation of Chinese Human-Computer Dialogue Technology"
    },
    {
        "_id": 191,
        "text": "Multi-style Generative Reading Comprehension"
    },
    {
        "_id": 192,
        "text": "A Cascade Sequence-to-Sequence Model for Chinese Mandarin Lip Reading"
    },
    {
        "_id": 193,
        "text": "Dissecting Content and Context in Argumentative Relation Analysis"
    },
    {
        "_id": 194,
        "text": "Gibberish Semantics: How Good is Russian Twitter in Word Semantic Similarity Task?"
    },
    {
        "_id": 195,
        "text": "A New Corpus for Low-Resourced Sindhi Language with Word Embeddings"
    },
    {
        "_id": 196,
        "text": "The Wiki Music dataset: A tool for computational analysis of popular music"
    },
    {
        "_id": 197,
        "text": "An Annotated Corpus of Emerging Anglicisms in Spanish Newspaper Headlines"
    },
    {
        "_id": 198,
        "text": "Style Transfer for Texts: to Err is Human, but Error Margins Matter"
    },
    {
        "_id": 199,
        "text": "Efficient Attention using a Fixed-Size Memory Representation"
    },
    {
        "_id": 200,
        "text": "Duality Regularization for Unsupervised Bilingual Lexicon Induction"
    },
    {
        "_id": 201,
        "text": "Team Papelo: Transformer Networks at FEVER"
    },
    {
        "_id": 202,
        "text": "Automatic Differentiation in ROOT"
    },
    {
        "_id": 203,
        "text": "Controlling the Output Length of Neural Machine Translation"
    },
    {
        "_id": 204,
        "text": "Spectral decomposition method of dialog state tracking via collective matrix factorization"
    },
    {
        "_id": 205,
        "text": "Torch-Struct: Deep Structured Prediction Library"
    },
    {
        "_id": 206,
        "text": "Embedding Projection for Targeted Cross-Lingual Sentiment: Model Comparisons and a Real-World Study"
    },
    {
        "_id": 207,
        "text": "Improving Open Information Extraction via Iterative Rank-Aware Learning"
    },
    {
        "_id": 208,
        "text": "Character-Centric Storytelling"
    },
    {
        "_id": 209,
        "text": "Combining Adversarial Training and Disentangled Speech Representation for Robust Zero-Resource Subword Modeling"
    },
    {
        "_id": 210,
        "text": "Automatic Target Recovery for Hindi-English Code Mixed Puns"
    },
    {
        "_id": 211,
        "text": "CRWIZ: A Framework for Crowdsourcing Real-Time Wizard-of-Oz Dialogues"
    },
    {
        "_id": 212,
        "text": "Detecting Online Hate Speech Using Context Aware Models"
    },
    {
        "_id": 213,
        "text": "Plan, Write, and Revise: an Interactive System for Open-Domain Story Generation"
    },
    {
        "_id": 214,
        "text": "Collecting Indicators of Compromise from Unstructured Text of Cybersecurity Articles using Neural-Based Sequence Labelling"
    },
    {
        "_id": 215,
        "text": "Boosting Question Answering by Deep Entity Recognition"
    },
    {
        "_id": 216,
        "text": "Polysemy Detection in Distributed Representation of Word Sense"
    },
    {
        "_id": 217,
        "text": "Neural Domain Adaptation for Biomedical Question Answering"
    },
    {
        "_id": 218,
        "text": "Classifying topics in speech when all you have is crummy translations."
    },
    {
        "_id": 219,
        "text": "Word, Subword or Character? An Empirical Study of Granularity in Chinese-English NMT"
    },
    {
        "_id": 220,
        "text": "A Comparative Evaluation of Visual and Natural Language Question Answering Over Linked Data"
    },
    {
        "_id": 221,
        "text": "Binary and Multitask Classification Model for Dutch Anaphora Resolution: Die/Dat Prediction"
    },
    {
        "_id": 222,
        "text": "'Warriors of the Word' -- Deciphering Lyrical Topics in Music and Their Connection to Audio Feature Dimensions Based on a Corpus of Over 100,000 Metal Songs"
    },
    {
        "_id": 223,
        "text": "Abstractive Dialog Summarization with Semantic Scaffolds"
    },
    {
        "_id": 224,
        "text": "CommonGen: A Constrained Text Generation Dataset Towards Generative Commonsense Reasoning"
    },
    {
        "_id": 225,
        "text": "MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension"
    },
    {
        "_id": 226,
        "text": "Data Mining in Clinical Trial Text: Transformers for Classification and Question Answering Tasks"
    },
    {
        "_id": 227,
        "text": "RelNet: End-to-End Modeling of Entities & Relations"
    },
    {
        "_id": 228,
        "text": "Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder"
    },
    {
        "_id": 229,
        "text": "Comparing Human and Machine Errors in Conversational Speech Transcription"
    },
    {
        "_id": 230,
        "text": "An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation"
    },
    {
        "_id": 231,
        "text": "Combining Search with Structured Data to Create a More Engaging User Experience in Open Domain Dialogue"
    },
    {
        "_id": 232,
        "text": "Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources"
    },
    {
        "_id": 233,
        "text": "Discriminative Acoustic Word Embeddings: Recurrent Neural Network-Based Approaches"
    },
    {
        "_id": 234,
        "text": "Semantic Holism and Word Representations in Artificial Neural Networks"
    },
    {
        "_id": 235,
        "text": "Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing"
    },
    {
        "_id": 236,
        "text": "Characterizing Diabetes, Diet, Exercise, and Obesity Comments on Twitter"
    },
    {
        "_id": 237,
        "text": "Rethinking travel behavior modeling representations through embeddings"
    },
    {
        "_id": 238,
        "text": "Sex Trafficking Detection with Ordinal Regression Neural Networks"
    },
    {
        "_id": 239,
        "text": "Modeling Trolling in Social Media Conversations"
    },
    {
        "_id": 240,
        "text": "Measuring Compositional Generalization: A Comprehensive Method on Realistic Data"
    },
    {
        "_id": 241,
        "text": "Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting With Limited Training Data"
    },
    {
        "_id": 242,
        "text": "FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow"
    },
    {
        "_id": 243,
        "text": "On Leveraging the Visual Modality for Neural Machine Translation"
    },
    {
        "_id": 244,
        "text": "Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games"
    },
    {
        "_id": 245,
        "text": "A Set of Recommendations for Assessing Human-Machine Parity in Language Translation"
    },
    {
        "_id": 246,
        "text": "StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization"
    },
    {
        "_id": 247,
        "text": "Effective Use of Transformer Networks for Entity Tracking"
    },
    {
        "_id": 248,
        "text": "Recognizing Musical Entities in User-generated Content"
    },
    {
        "_id": 249,
        "text": "MIT-QCRI Arabic Dialect Identification System for the 2017 Multi-Genre Broadcast Challenge"
    },
    {
        "_id": 250,
        "text": "Bias in Semantic and Discourse Interpretation"
    },
    {
        "_id": 251,
        "text": "A Swiss German Dictionary: Variation in Speech and Writing"
    },
    {
        "_id": 252,
        "text": "QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships"
    },
    {
        "_id": 253,
        "text": "Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances"
    },
    {
        "_id": 254,
        "text": "Sentiment Analysis of Citations Using Word2vec"
    },
    {
        "_id": 255,
        "text": "Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches"
    },
    {
        "_id": 256,
        "text": "Indiscapes: Instance Segmentation Networks for Layout Parsing of Historical Indic Manuscripts"
    },
    {
        "_id": 257,
        "text": "Semantic Document Distance Measures and Unsupervised Document Revision Detection"
    },
    {
        "_id": 258,
        "text": "Multi-Task Bidirectional Transformer Representations for Irony Detection"
    },
    {
        "_id": 259,
        "text": "Evaluating Rewards for Question Generation Models"
    },
    {
        "_id": 260,
        "text": "Gated Convolutional Neural Networks for Domain Adaptation"
    },
    {
        "_id": 261,
        "text": "Deep contextualized word representations for detecting sarcasm and irony"
    },
    {
        "_id": 262,
        "text": "SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering"
    },
    {
        "_id": 263,
        "text": "Phonetic Feedback for Speech Enhancement With and Without Parallel Speech Data"
    },
    {
        "_id": 264,
        "text": "Assessing the Efficacy of Clinical Sentiment Analysis and Topic Extraction in Psychiatric Readmission Risk Prediction"
    },
    {
        "_id": 265,
        "text": "Attending to Characters in Neural Sequence Labeling Models"
    },
    {
        "_id": 266,
        "text": "Analysing Coreference in Transformer Outputs"
    },
    {
        "_id": 267,
        "text": "Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding Space"
    },
    {
        "_id": 268,
        "text": "NumNet: Machine Reading Comprehension with Numerical Reasoning"
    },
    {
        "_id": 269,
        "text": "Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding"
    },
    {
        "_id": 270,
        "text": "Learning Representations of Emotional Speech with Deep Convolutional Generative Adversarial Networks"
    },
    {
        "_id": 271,
        "text": "Subword-augmented Embedding for Cloze Reading Comprehension"
    },
    {
        "_id": 272,
        "text": "Kurdish (Sorani) Speech to Text: Presenting an Experimental Dataset"
    },
    {
        "_id": 273,
        "text": "Cohesion and Coalition Formation in the European Parliament: Roll-Call Votes and Twitter Activities"
    },
    {
        "_id": 274,
        "text": "Neural Language Modeling by Jointly Learning Syntax and Lexicon"
    },
    {
        "_id": 275,
        "text": "Extracting information from free text through unsupervised graph-based clustering: an application to patient incident records"
    },
    {
        "_id": 276,
        "text": "Question Answering from Unstructured Text by Retrieval and Comprehension"
    },
    {
        "_id": 277,
        "text": "UDS--DFKI Submission to the WMT2019 Similar Language Translation Shared Task"
    },
    {
        "_id": 278,
        "text": "Exploration on Generating Traditional Chinese Medicine Prescriptions from Symptoms with an End-to-End Approach"
    },
    {
        "_id": 279,
        "text": "Grounding the Semantics of Part-of-Day Nouns Worldwide using Twitter"
    },
    {
        "_id": 280,
        "text": "QA4IE: A Question Answering based Framework for Information Extraction"
    },
    {
        "_id": 281,
        "text": "A Resource for Studying Chatino Verbal Morphology"
    },
    {
        "_id": 282,
        "text": "N-GrAM: New Groningen Author-profiling Model"
    },
    {
        "_id": 283,
        "text": "Multi-modal Sentiment Analysis using Super Characters Method on Low-power CNN Accelerator Device"
    },
    {
        "_id": 284,
        "text": "Nefnir: A high accuracy lemmatizer for Icelandic"
    },
    {
        "_id": 285,
        "text": "Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation"
    },
    {
        "_id": 286,
        "text": "Efficient Vector Representation for Documents through Corruption"
    },
    {
        "_id": 287,
        "text": "Microsoft Research Asia's Systems for WMT19"
    },
    {
        "_id": 288,
        "text": "Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer"
    },
    {
        "_id": 289,
        "text": "Evaluation of basic modules for isolated spelling error correction in Polish texts"
    },
    {
        "_id": 290,
        "text": "Few-shot Natural Language Generation for Task-Oriented Dialog"
    },
    {
        "_id": 291,
        "text": "Using Whole Document Context in Neural Machine Translation"
    },
    {
        "_id": 292,
        "text": "Finding Street Gang Members on Twitter"
    },
    {
        "_id": 293,
        "text": "A Unified System for Aggression Identification in English Code-Mixed and Uni-Lingual Texts"
    },
    {
        "_id": 294,
        "text": "An Emotional Analysis of False Information in Social Media and News Articles"
    },
    {
        "_id": 295,
        "text": "STransE: a novel embedding model of entities and relationships in knowledge bases"
    },
    {
        "_id": 296,
        "text": "Doc2Vec on the PubMed corpus: study of a new approach to generate related articles"
    },
    {
        "_id": 297,
        "text": "Multi-Perspective Fusion Network for Commonsense Reading Comprehension"
    },
    {
        "_id": 298,
        "text": "Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks"
    },
    {
        "_id": 299,
        "text": "Consistency of a Recurrent Language Model With Respect to Incomplete Decoding"
    },
    {
        "_id": 300,
        "text": "Modality-Balanced Models for Visual Dialogue"
    },
    {
        "_id": 301,
        "text": "Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction"
    },
    {
        "_id": 302,
        "text": "RTFM: Generalising to Novel Environment Dynamics via Reading"
    },
    {
        "_id": 303,
        "text": "ISS-MULT: Intelligent Sample Selection for Multi-Task Learning in Question Answering"
    },
    {
        "_id": 304,
        "text": "Improving Span-based Question Answering Systems with Coarsely Labeled Data"
    },
    {
        "_id": 305,
        "text": "AandP: Utilizing Prolog for converting between active sentence and passive sentence with three-steps conversion"
    },
    {
        "_id": 306,
        "text": "Revealing the Dark Secrets of BERT"
    },
    {
        "_id": 307,
        "text": "Exploring Hierarchical Interaction Between Review and Summary for Better Sentiment Analysis"
    },
    {
        "_id": 308,
        "text": "Generaci\\'on autom\\'atica de frases literarias en espa\\~nol"
    },
    {
        "_id": 309,
        "text": "Language-Agnostic Syllabification with Neural Sequence Labeling"
    },
    {
        "_id": 310,
        "text": "A Latent Morphology Model for Open-Vocabulary Neural Machine Translation"
    },
    {
        "_id": 311,
        "text": "An Incremental Parser for Abstract Meaning Representation"
    },
    {
        "_id": 312,
        "text": "Multilingual Speech Recognition with Corpus Relatedness Sampling"
    },
    {
        "_id": 313,
        "text": "Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation"
    },
    {
        "_id": 314,
        "text": "Quantifying Similarity between Relations with Fact Distribution"
    },
    {
        "_id": 315,
        "text": "The emergent algebraic structure of RNNs and embeddings in NLP"
    },
    {
        "_id": 316,
        "text": "Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard-300"
    },
    {
        "_id": 317,
        "text": "Common Voice: A Massively-Multilingual Speech Corpus"
    },
    {
        "_id": 318,
        "text": "Weakly Supervised Domain Detection"
    },
    {
        "_id": 319,
        "text": "Harry Potter and the Action Prediction Challenge from Natural Language"
    },
    {
        "_id": 320,
        "text": "Finding Dominant User Utterances And System Responses in Conversations"
    },
    {
        "_id": 321,
        "text": "Ask the Right Questions: Active Question Reformulation with Reinforcement Learning"
    },
    {
        "_id": 322,
        "text": "Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims"
    },
    {
        "_id": 323,
        "text": "Pay More Attention - Neural Architectures for Question-Answering"
    },
    {
        "_id": 324,
        "text": "Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue"
    },
    {
        "_id": 325,
        "text": "Brazilian Lyrics-Based Music Genre Classification Using a BLSTM Network"
    },
    {
        "_id": 326,
        "text": "A Robust Hybrid Approach for Textual Document Classification"
    },
    {
        "_id": 327,
        "text": "AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses"
    },
    {
        "_id": 328,
        "text": "Generative Dialog Policy for Task-oriented Dialog Systems"
    },
    {
        "_id": 329,
        "text": "Bidirectional Context-Aware Hierarchical Attention Network for Document Understanding"
    },
    {
        "_id": 330,
        "text": "Twitter Sentiment Analysis via Bi-sense Emoji Embedding and Attention-based LSTM"
    },
    {
        "_id": 331,
        "text": "Bridging the Gap for Tokenizer-Free Language Models"
    },
    {
        "_id": 332,
        "text": "Features in Extractive Supervised Single-document Summarization: Case of Persian News"
    },
    {
        "_id": 333,
        "text": "Dreaddit: A Reddit Dataset for Stress Analysis in Social Media"
    },
    {
        "_id": 334,
        "text": "Corporate IT-Support Help-Desk Process Hybrid-Automation Solution with Machine Learning Approach"
    },
    {
        "_id": 335,
        "text": "\"How May I Help You?\": Modeling Twitter Customer Service Conversations Using Fine-Grained Dialogue Acts"
    },
    {
        "_id": 336,
        "text": "Building a Neural Machine Translation System Using Only Synthetic Parallel Data"
    },
    {
        "_id": 337,
        "text": "Hateful People or Hateful Bots? Detection and Characterization of Bots Spreading Religious Hatred in Arabic Social Media"
    },
    {
        "_id": 338,
        "text": "SIM: A Slot-Independent Neural Model for Dialogue State Tracking"
    },
    {
        "_id": 339,
        "text": "Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss"
    },
    {
        "_id": 340,
        "text": "Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning"
    },
    {
        "_id": 341,
        "text": "How to Do Simultaneous Translation Better with Consecutive Neural Machine Translation?"
    },
    {
        "_id": 342,
        "text": "A Sentiment Analysis of Breast Cancer Treatment Experiences and Healthcare Perceptions Across Twitter"
    },
    {
        "_id": 343,
        "text": "Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction"
    },
    {
        "_id": 344,
        "text": "Empirical Gaussian priors for cross-lingual transfer learning"
    },
    {
        "_id": 345,
        "text": "Variational Transformers for Diverse Response Generation"
    },
    {
        "_id": 346,
        "text": "Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER"
    },
    {
        "_id": 347,
        "text": "Language Transfer for Early Warning of Epidemics from Social Media"
    },
    {
        "_id": 348,
        "text": "Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks"
    },
    {
        "_id": 349,
        "text": "Back Attention Knowledge Transfer for Low-resource Named Entity Recognition"
    },
    {
        "_id": 350,
        "text": "Multilingual Graphemic Hybrid ASR with Massive Data Augmentation"
    },
    {
        "_id": 351,
        "text": "HateMonitors: Language Agnostic Abuse Detection in Social Media"
    },
    {
        "_id": 352,
        "text": "Fast Multi-language LSTM-based Online Handwriting Recognition"
    },
    {
        "_id": 353,
        "text": "BERT has a Moral Compass: Improvements of ethical and moral values of machines"
    },
    {
        "_id": 354,
        "text": "Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation"
    },
    {
        "_id": 355,
        "text": "Incorporating Priors with Feature Attribution on Text Classification"
    },
    {
        "_id": 356,
        "text": "A Density Ratio Approach to Language Model Fusion in End-to-End Automatic Speech Recognition"
    },
    {
        "_id": 357,
        "text": "Measuring Conversational Fluidity in Automated Dialogue Agents"
    },
    {
        "_id": 358,
        "text": "Attention Is (not) All You Need for Commonsense Reasoning"
    },
    {
        "_id": 359,
        "text": "Incorporating Structured Commonsense Knowledge in Story Completion"
    },
    {
        "_id": 360,
        "text": "On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation"
    },
    {
        "_id": 361,
        "text": "Seshat: A tool for managing and verifying annotation campaigns of audio data"
    },
    {
        "_id": 362,
        "text": "Discriminating between similar languages in Twitter using label propagation"
    },
    {
        "_id": 363,
        "text": "BB_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMs"
    },
    {
        "_id": 364,
        "text": "Classifying movie genres by analyzing text reviews"
    },
    {
        "_id": 365,
        "text": "News-Driven Stock Prediction With Attention-Based Noisy Recurrent State Transition"
    },
    {
        "_id": 366,
        "text": "Learning Open Information Extraction of Implicit Relations from Reading Comprehension Datasets"
    },
    {
        "_id": 367,
        "text": "AMR-to-text Generation with Synchronous Node Replacement Grammar"
    },
    {
        "_id": 368,
        "text": "MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification"
    },
    {
        "_id": 369,
        "text": "Hooks in the Headline: Learning to Generate Headlines with Controlled Styles"
    },
    {
        "_id": 370,
        "text": "Twitter-Network Topic Model: A Full Bayesian Treatment for Social Network and Text Modeling"
    },
    {
        "_id": 371,
        "text": "Towards Language Agnostic Universal Representations"
    },
    {
        "_id": 372,
        "text": "Is preprocessing of text really worth your time for online comment classification?"
    },
    {
        "_id": 373,
        "text": "Same Representation, Different Attentions: Shareable Sentence Representation Learning from Multiple Tasks"
    },
    {
        "_id": 374,
        "text": "Zero-Shot Paraphrase Generation with Multilingual Language Models"
    },
    {
        "_id": 375,
        "text": "WiSeBE: Window-based Sentence Boundary Evaluation"
    },
    {
        "_id": 376,
        "text": "Adversarial Examples with Difficult Common Words for Paraphrase Identification"
    },
    {
        "_id": 377,
        "text": "Gender Representation in Open Source Speech Resources"
    },
    {
        "_id": 378,
        "text": "A Neural Approach to Discourse Relation Signal Detection"
    },
    {
        "_id": 379,
        "text": "Citation Text Generation"
    },
    {
        "_id": 380,
        "text": "Machine Translation with Cross-lingual Word Embeddings"
    },
    {
        "_id": 381,
        "text": "Meteorologists and Students: A resource for language grounding of geographical descriptors"
    },
    {
        "_id": 382,
        "text": "SocialNLP EmotionX 2019 Challenge Overview: Predicting Emotions in Spoken Dialogues and Chats"
    },
    {
        "_id": 383,
        "text": "Mixed Membership Word Embeddings for Computational Social Science"
    },
    {
        "_id": 384,
        "text": "Multimodal Differential Network for Visual Question Generation"
    },
    {
        "_id": 385,
        "text": "CoupleNet: Paying Attention to Couples with Coupled Attention for Relationship Recommendation"
    },
    {
        "_id": 386,
        "text": "#MeToo on Campus: Studying College Sexual Assault at Scale Using Data Reported on Social Media"
    },
    {
        "_id": 387,
        "text": "S-Net: From Answer Extraction to Answer Generation for Machine Reading Comprehension"
    },
    {
        "_id": 388,
        "text": "IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets"
    },
    {
        "_id": 389,
        "text": "Asking and Answering Questions to Evaluate the Factual Consistency of Summaries"
    },
    {
        "_id": 390,
        "text": "Deep Text-to-Speech System with Seq2Seq Model"
    },
    {
        "_id": 391,
        "text": "Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach"
    },
    {
        "_id": 392,
        "text": "Build Fast and Accurate Lemmatization for Arabic"
    },
    {
        "_id": 393,
        "text": "Joint Contextual Modeling for ASR Correction and Language Understanding"
    },
    {
        "_id": 394,
        "text": "Many Languages, One Parser"
    },
    {
        "_id": 395,
        "text": "Semi-Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models"
    },
    {
        "_id": 396,
        "text": "Story Ending Generation with Incremental Encoding and Commonsense Knowledge"
    },
    {
        "_id": 397,
        "text": "Dataset for the First Evaluation on Chinese Machine Reading Comprehension"
    },
    {
        "_id": 398,
        "text": "Joint learning of ontology and semantic parser from text"
    },
    {
        "_id": 399,
        "text": "A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models"
    },
    {
        "_id": 400,
        "text": "Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis"
    },
    {
        "_id": 401,
        "text": "The State of NLP Literature: A Diachronic Analysis of the ACL Anthology"
    },
    {
        "_id": 402,
        "text": "BERTQA -- Attention on Steroids"
    },
    {
        "_id": 403,
        "text": "Non-Parametric Adaptation for Neural Machine Translation"
    },
    {
        "_id": 404,
        "text": "Multichannel Variable-Size Convolution for Sentence Classification"
    },
    {
        "_id": 405,
        "text": "Constructing a Natural Language Inference Dataset using Generative Neural Networks"
    },
    {
        "_id": 406,
        "text": "BERT-Based Arabic Social Media Author Profiling"
    },
    {
        "_id": 407,
        "text": "Data Innovation for International Development: An overview of natural language processing for qualitative data analysis"
    },
    {
        "_id": 408,
        "text": "Empirical Study on Detecting Controversy in Social Media"
    },
    {
        "_id": 409,
        "text": "Humor Detection: A Transformer Gets the Last Laugh"
    },
    {
        "_id": 410,
        "text": "Grammatical Analysis of Pretrained Sentence Encoders with Acceptability Judgments"
    },
    {
        "_id": 411,
        "text": "Question Answering by Reasoning Across Documents with Graph Convolutional Networks"
    },
    {
        "_id": 412,
        "text": "Effectiveness of Data-Driven Induction of Semantic Spaces and Traditional Classifiers for Sarcasm Detection"
    },
    {
        "_id": 413,
        "text": "Multi-attention Recurrent Network for Human Communication Comprehension"
    },
    {
        "_id": 414,
        "text": "The Effect of Context on Metaphor Paraphrase Aptness Judgments"
    },
    {
        "_id": 415,
        "text": "Drug-drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers"
    },
    {
        "_id": 416,
        "text": "Compositional Neural Machine Translation by Removing the Lexicon from Syntax"
    },
    {
        "_id": 417,
        "text": "Mind Your Language: Abuse and Offense Detection for Code-Switched Languages"
    },
    {
        "_id": 418,
        "text": "$\\rho$-hot Lexicon Embedding-based Two-level LSTM for Sentiment Analysis"
    },
    {
        "_id": 419,
        "text": "Unsupervised Pre-training for Natural Language Generation: A Literature Review"
    },
    {
        "_id": 420,
        "text": "Incrementalizing RASA's Open-Source Natural Language Understanding Pipeline"
    },
    {
        "_id": 421,
        "text": "Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation"
    },
    {
        "_id": 422,
        "text": "We Built a Fake News&Click-bait Filter: What Happened Next Will Blow Your Mind!"
    },
    {
        "_id": 423,
        "text": "Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?"
    },
    {
        "_id": 424,
        "text": "Open Information Extraction on Scientific Text: An Evaluation"
    },
    {
        "_id": 425,
        "text": "RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregation"
    },
    {
        "_id": 426,
        "text": "Semi-supervised sequence tagging with bidirectional language models"
    },
    {
        "_id": 427,
        "text": "Exploring Chemical Space using Natural Language Processing Methodologies for Drug Discovery"
    },
    {
        "_id": 428,
        "text": "Inducing Interpretability in Knowledge Graph Embeddings"
    },
    {
        "_id": 429,
        "text": "CA-EHN: Commonsense Word Analogy from E-HowNet"
    },
    {
        "_id": 430,
        "text": "Encoding Word Confusion Networks with Recurrent Neural Networks for Dialog State Tracking"
    },
    {
        "_id": 431,
        "text": "Semantic Enrichment of Streaming Healthcare Data"
    },
    {
        "_id": 432,
        "text": "Question Generation by Transformers"
    },
    {
        "_id": 433,
        "text": "TutorialVQA: Question Answering Dataset for Tutorial Videos"
    },
    {
        "_id": 434,
        "text": "A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction"
    },
    {
        "_id": 435,
        "text": "Construction of a Japanese Word Similarity Dataset"
    },
    {
        "_id": 436,
        "text": "Towards Neural Language Evaluators"
    },
    {
        "_id": 437,
        "text": "Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answering"
    },
    {
        "_id": 438,
        "text": "Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations"
    },
    {
        "_id": 439,
        "text": "Natural- to formal-language generation using Tensor Product Representations"
    },
    {
        "_id": 440,
        "text": "Local Contextual Attention with Hierarchical Structure for Dialogue Act Recognition"
    },
    {
        "_id": 441,
        "text": "Select and Attend: Towards Controllable Content Selection in Text Generation"
    },
    {
        "_id": 442,
        "text": "Review Conversational Reading Comprehension"
    },
    {
        "_id": 443,
        "text": "Human Languages in Source Code: Auto-Translation for Localized Instruction"
    },
    {
        "_id": 444,
        "text": "Schema-Guided Dialogue State Tracking Task at DSTC8"
    },
    {
        "_id": 445,
        "text": "A Simple Approach to Multilingual Polarity Classification in Twitter"
    },
    {
        "_id": 446,
        "text": "Markov Chain Monte-Carlo Phylogenetic Inference Construction in Computational Historical Linguistics"
    },
    {
        "_id": 447,
        "text": "Phonetic Temporal Neural Model for Language Identification"
    },
    {
        "_id": 448,
        "text": "On Evaluating the Generalization of LSTM Models in Formal Languages"
    },
    {
        "_id": 449,
        "text": "Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification"
    },
    {
        "_id": 450,
        "text": "Bi-Directional Lattice Recurrent Neural Networks for Confidence Estimation"
    },
    {
        "_id": 451,
        "text": "Representation Learning for Discovering Phonemic Tone Contours"
    },
    {
        "_id": 452,
        "text": "Robust Multilingual Named Entity Recognition with Shallow Semi-Supervised Features"
    },
    {
        "_id": 453,
        "text": "Irony Detection in a Multilingual Context"
    },
    {
        "_id": 454,
        "text": "Deep Health Care Text Classification"
    },
    {
        "_id": 455,
        "text": "A Novel ILP Framework for Summarizing Content with High Lexical Variety"
    },
    {
        "_id": 456,
        "text": "Word Embeddings to Enhance Twitter Gang Member Profile Identification"
    },
    {
        "_id": 457,
        "text": "A Byte-sized Approach to Named Entity Recognition"
    },
    {
        "_id": 458,
        "text": "The Intelligent Voice 2016 Speaker Recognition System"
    },
    {
        "_id": 459,
        "text": "Synonym Discovery with Etymology-based Word Embeddings"
    },
    {
        "_id": 460,
        "text": "Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge"
    },
    {
        "_id": 461,
        "text": "Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering"
    },
    {
        "_id": 462,
        "text": "Unsupervised Question Decomposition for Question Answering"
    },
    {
        "_id": 463,
        "text": "Simultaneous Neural Machine Translation using Connectionist Temporal Classification"
    },
    {
        "_id": 464,
        "text": "Data Interpretation over Plots"
    },
    {
        "_id": 465,
        "text": "Sentiment Analysis for Twitter : Going Beyond Tweet Text"
    },
    {
        "_id": 466,
        "text": "Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From?"
    },
    {
        "_id": 467,
        "text": "Large Arabic Twitter Dataset on COVID-19"
    },
    {
        "_id": 468,
        "text": "Event detection in Twitter: A keyword volume approach"
    },
    {
        "_id": 469,
        "text": "Analysis of Speeches in Indian Parliamentary Debates"
    },
    {
        "_id": 470,
        "text": "BERT Can See Out of the Box: On the Cross-modal Transferability of Text Representations"
    },
    {
        "_id": 471,
        "text": "Facet-Aware Evaluation for Extractive Text Summarization"
    },
    {
        "_id": 472,
        "text": "Leveraging Discourse Information Effectively for Authorship Attribution"
    },
    {
        "_id": 473,
        "text": "Towards Neural Theorem Proving at Scale"
    },
    {
        "_id": 474,
        "text": "Neural Word Segmentation with Rich Pretraining"
    },
    {
        "_id": 475,
        "text": "Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models"
    },
    {
        "_id": 476,
        "text": "Learning to Ask Unanswerable Questions for Machine Reading Comprehension"
    },
    {
        "_id": 477,
        "text": "Evaluating KGR10 Polish word embeddings in the recognition of temporal expressions using BiLSTM-CRF"
    },
    {
        "_id": 478,
        "text": "Speech Corpus of Ainu Folklore and End-to-end Speech Recognition for Ainu Language"
    },
    {
        "_id": 479,
        "text": "Revealing the Importance of Semantic Retrieval for Machine Reading at Scale"
    },
    {
        "_id": 480,
        "text": "Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks"
    },
    {
        "_id": 481,
        "text": "Katecheo: A Portable and Modular System for Multi-Topic Question Answering"
    },
    {
        "_id": 482,
        "text": "Transductive Learning with String Kernels for Cross-Domain Text Classification"
    },
    {
        "_id": 483,
        "text": "Towards an Unsupervised Entrainment Distance in Conversational Speech using Deep Neural Networks"
    },
    {
        "_id": 484,
        "text": "Named Entity Recognition with Partially Annotated Training Data"
    },
    {
        "_id": 485,
        "text": "End-to-End Speech Recognition: A review for the French Language"
    },
    {
        "_id": 486,
        "text": "Analyzing Word Translation of Transformer Layers"
    },
    {
        "_id": 487,
        "text": "MedDialog: A Large-scale Medical Dialogue Dataset"
    },
    {
        "_id": 488,
        "text": "Learning to Automatically Generate Fill-In-The-Blank Quizzes"
    },
    {
        "_id": 489,
        "text": "Fast Domain Adaptation for Neural Machine Translation"
    },
    {
        "_id": 490,
        "text": "The Grail theorem prover: Type theory for syntax and semantics"
    },
    {
        "_id": 491,
        "text": "A Joint Model for Question Answering and Question Generation"
    },
    {
        "_id": 492,
        "text": "Word Embeddings via Tensor Factorization"
    },
    {
        "_id": 493,
        "text": "Voice Transformer Network: Sequence-to-Sequence Voice Conversion Using Transformer with Text-to-Speech Pretraining"
    },
    {
        "_id": 494,
        "text": "Towards Real-Time, Country-Level Location Classification of Worldwide Tweets"
    },
    {
        "_id": 495,
        "text": "Open Information Extraction from Question-Answer Pairs"
    },
    {
        "_id": 496,
        "text": "Flexibly-Structured Model for Task-Oriented Dialogues"
    },
    {
        "_id": 497,
        "text": "Latent Multi-task Architecture Learning"
    },
    {
        "_id": 498,
        "text": "Integration of Japanese Papers Into the DBLP Data Set"
    },
    {
        "_id": 499,
        "text": "Evaluating the Performance of a Speech Recognition based System"
    },
    {
        "_id": 500,
        "text": "Systematic Generalization: What Is Required and Can It Be Learned?"
    },
    {
        "_id": 501,
        "text": "Char-RNN and Active Learning for Hashtag Segmentation"
    },
    {
        "_id": 502,
        "text": "Generating Narrative Text in a Switching Dynamical System"
    },
    {
        "_id": 503,
        "text": "Learning Explicit and Implicit Structures for Targeted Sentiment Analysis"
    },
    {
        "_id": 504,
        "text": "End-to-End Information Extraction without Token-Level Supervision"
    },
    {
        "_id": 505,
        "text": "Recurrently Controlled Recurrent Networks"
    },
    {
        "_id": 506,
        "text": "End-to-End Multi-View Networks for Text Classification"
    },
    {
        "_id": 507,
        "text": "On the Robustness of Projection Neural Networks For Efficient Text Representation: An Empirical Study"
    },
    {
        "_id": 508,
        "text": "Experiments in Cuneiform Language Identification"
    },
    {
        "_id": 509,
        "text": "Brundlefly at SemEval-2016 Task 12: Recurrent Neural Networks vs. Joint Inference for Clinical Temporal Information Extraction"
    },
    {
        "_id": 510,
        "text": "Improving Information Retrieval Results for Persian Documents using FarsNet"
    },
    {
        "_id": 511,
        "text": "Vietnamese Open Information Extraction"
    },
    {
        "_id": 512,
        "text": "Excitation-based Voice Quality Analysis and Modification"
    },
    {
        "_id": 513,
        "text": "TLT-school: a Corpus of Non Native Children Speech"
    },
    {
        "_id": 514,
        "text": "Efficient Summarization with Read-Again and Copy Mechanism"
    },
    {
        "_id": 515,
        "text": "Exploiting Task-Oriented Resources to Learn Word Embeddings for Clinical Abbreviation Expansion"
    },
    {
        "_id": 516,
        "text": "CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding"
    },
    {
        "_id": 517,
        "text": "\"What is Relevant in a Text Document?\": An Interpretable Machine Learning Approach"
    },
    {
        "_id": 518,
        "text": "Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines"
    },
    {
        "_id": 519,
        "text": "BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions"
    },
    {
        "_id": 520,
        "text": "Database of Parliamentary Speeches in Ireland, 1919-2013"
    },
    {
        "_id": 521,
        "text": "A Lightweight Front-end Tool for Interactive Entity Population"
    },
    {
        "_id": 522,
        "text": "User Generated Data: Achilles' heel of BERT"
    },
    {
        "_id": 523,
        "text": "Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning"
    },
    {
        "_id": 524,
        "text": "Paying Attention to Attention: Highlighting Influential Samples in Sequential Analysis"
    },
    {
        "_id": 525,
        "text": "Video Highlight Prediction Using Audience Chat Reactions"
    },
    {
        "_id": 526,
        "text": "Neural Multi-Step Reasoning for Question Answering on Semi-Structured Tables"
    },
    {
        "_id": 527,
        "text": "Creation of an Annotated Corpus of Spanish Radiology Reports"
    },
    {
        "_id": 528,
        "text": "DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News"
    },
    {
        "_id": 529,
        "text": "Compositional generalization in a deep seq2seq model by separating syntax and semantics"
    },
    {
        "_id": 530,
        "text": "Effectiveness of self-supervised pre-training for speech recognition"
    },
    {
        "_id": 531,
        "text": "Cooperative Learning of Disjoint Syntax and Semantics"
    },
    {
        "_id": 532,
        "text": "Non-native Speaker Verification for Spoken Language Assessment"
    },
    {
        "_id": 533,
        "text": "Domain Adaptation for Neural Networks by Parameter Augmentation"
    },
    {
        "_id": 534,
        "text": "Crowd Sourced Data Analysis: Mapping of Programming Concepts to Syntactical Patterns"
    },
    {
        "_id": 535,
        "text": "Learning to Compose Neural Networks for Question Answering"
    },
    {
        "_id": 536,
        "text": "The Evolved Transformer"
    },
    {
        "_id": 537,
        "text": "MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity"
    },
    {
        "_id": 538,
        "text": "Question Dependent Recurrent Entity Network for Question Answering"
    },
    {
        "_id": 539,
        "text": "Smarnet: Teaching Machines to Read and Comprehend Like Human"
    },
    {
        "_id": 540,
        "text": "Pre-Translation for Neural Machine Translation"
    },
    {
        "_id": 541,
        "text": "Developing a Fine-Grained Corpus for a Less-resourced Language: the case of Kurdish"
    },
    {
        "_id": 542,
        "text": "Automatic Language Identification in Texts: A Survey"
    },
    {
        "_id": 543,
        "text": "HireNet: a Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews"
    },
    {
        "_id": 544,
        "text": "Cross-Lingual Adaptation Using Universal Dependencies"
    },
    {
        "_id": 545,
        "text": "End-to-End Streaming Keyword Spotting"
    },
    {
        "_id": 546,
        "text": "Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning"
    },
    {
        "_id": 547,
        "text": "Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yor\\`ub\\'a"
    },
    {
        "_id": 548,
        "text": "Monitoring stance towards vaccination in twitter messages"
    },
    {
        "_id": 549,
        "text": "Cross-Lingual Machine Reading Comprehension"
    },
    {
        "_id": 550,
        "text": "Modeling Multi-Action Policy for Task-Oriented Dialogues"
    },
    {
        "_id": 551,
        "text": "Incorporating Context and External Knowledge for Pronoun Coreference Resolution"
    },
    {
        "_id": 552,
        "text": "Improving Textual Network Embedding with Global Attention via Optimal Transport"
    },
    {
        "_id": 553,
        "text": "A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels"
    },
    {
        "_id": 554,
        "text": "Domain Agnostic Real-Valued Specificity Prediction"
    },
    {
        "_id": 555,
        "text": "Transfer in Deep Reinforcement Learning using Knowledge Graphs"
    },
    {
        "_id": 556,
        "text": "Language Independent Sequence Labelling for Opinion Target Extraction"
    },
    {
        "_id": 557,
        "text": "Multiplicative Models for Recurrent Language Modeling"
    },
    {
        "_id": 558,
        "text": "HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing"
    },
    {
        "_id": 559,
        "text": "Evaluation and Improvement of Chatbot Text Classification Data Quality Using Plausible Negative Examples"
    },
    {
        "_id": 560,
        "text": "Learning to Paraphrase for Question Answering"
    },
    {
        "_id": 561,
        "text": "Evaluating Multimodal Representations on Visual Semantic Textual Similarity"
    },
    {
        "_id": 562,
        "text": "Exploring Multilingual Syntactic Sentence Representations"
    },
    {
        "_id": 563,
        "text": "Conclusion-Supplement Answer Generation for Non-Factoid Questions"
    },
    {
        "_id": 564,
        "text": "Syntax-Enhanced Self-Attention-Based Semantic Role Labeling"
    },
    {
        "_id": 565,
        "text": "Multi-modal Dense Video Captioning"
    },
    {
        "_id": 566,
        "text": "Deep Learning for Automatic Tracking of Tongue Surface in Real-time Ultrasound Videos, Landmarks instead of Contours"
    },
    {
        "_id": 567,
        "text": "From quantum foundations via natural language meaning to a theory of everything"
    },
    {
        "_id": 568,
        "text": "VATEX Captioning Challenge 2019: Multi-modal Information Fusion and Multi-stage Training Strategy for Video Captioning"
    },
    {
        "_id": 569,
        "text": "On the Relationship between Self-Attention and Convolutional Layers"
    },
    {
        "_id": 570,
        "text": "Learning to Discover, Ground and Use Words with Segmental Neural Language Models"
    },
    {
        "_id": 571,
        "text": "Text Length Adaptation in Sentiment Classification"
    },
    {
        "_id": 572,
        "text": "Vietnamese Semantic Role Labelling"
    },
    {
        "_id": 573,
        "text": "Emotionally-Aware Chatbots: A Survey"
    },
    {
        "_id": 574,
        "text": "Should All Cross-Lingual Embeddings Speak English?"
    },
    {
        "_id": 575,
        "text": "Automatically Annotated Turkish Corpus for Named Entity Recognition and Text Categorization using Large-Scale Gazetteers"
    },
    {
        "_id": 576,
        "text": "Hybrid Tiled Convolutional Neural Networks for Text Sentiment Classification"
    },
    {
        "_id": 577,
        "text": "Learning to Describe Phrases with Local and Global Contexts"
    },
    {
        "_id": 578,
        "text": "Network-Efficient Distributed Word2vec Training System for Large Vocabularies"
    },
    {
        "_id": 579,
        "text": "Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling"
    },
    {
        "_id": 580,
        "text": "Unsupervised Multi-modal Neural Machine Translation"
    },
    {
        "_id": 581,
        "text": "Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels"
    },
    {
        "_id": 582,
        "text": "Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition"
    },
    {
        "_id": 583,
        "text": "Variational Cross-domain Natural Language Generation for Spoken Dialogue Systems"
    },
    {
        "_id": 584,
        "text": "Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation"
    },
    {
        "_id": 585,
        "text": "Learn to Code-Switch: Data Augmentation using Copy Mechanism on Language Modeling"
    },
    {
        "_id": 586,
        "text": "Normalized and Geometry-Aware Self-Attention Network for Image Captioning"
    },
    {
        "_id": 587,
        "text": "VQABQ: Visual Question Answering by Basic Questions"
    },
    {
        "_id": 588,
        "text": "A Full End-to-End Semantic Role Labeler, Syntax-agnostic Over Syntax-aware?"
    },
    {
        "_id": 589,
        "text": "Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis"
    },
    {
        "_id": 590,
        "text": "Fair is Better than Sensational:Man is to Doctor as Woman is to Doctor"
    },
    {
        "_id": 591,
        "text": "Annotating and normalizing biomedical NEs with limited knowledge"
    },
    {
        "_id": 592,
        "text": "An analysis of the utility of explicit negative examples to improve the syntactic abilities of neural language models"
    },
    {
        "_id": 593,
        "text": "Dialectometric analysis of language variation in Twitter"
    },
    {
        "_id": 594,
        "text": "Bag of Tricks for Efficient Text Classification"
    },
    {
        "_id": 595,
        "text": "BLiMP: A Benchmark of Linguistic Minimal Pairs for English"
    },
    {
        "_id": 596,
        "text": "Clustering of Medical Free-Text Records Based on Word Embeddings"
    },
    {
        "_id": 597,
        "text": "A Constructive Prediction of the Generalization Error Across Scales"
    },
    {
        "_id": 598,
        "text": "Character-Based Text Classification using Top Down Semantic Model for Sentence Representation"
    },
    {
        "_id": 599,
        "text": "A Better Variant of Self-Critical Sequence Training"
    },
    {
        "_id": 600,
        "text": "From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project"
    },
    {
        "_id": 601,
        "text": "Opinion Recommendation using Neural Memory Model"
    },
    {
        "_id": 602,
        "text": "Improving Quality and Efficiency in Plan-based Neural Data-to-Text Generation"
    },
    {
        "_id": 603,
        "text": "Rotations and Interpretability of Word Embeddings: the Case of the Russian Language"
    },
    {
        "_id": 604,
        "text": "Improving Visually Grounded Sentence Representations with Self-Attention"
    },
    {
        "_id": 605,
        "text": "Categorization of Semantic Roles for Dictionary Definitions"
    },
    {
        "_id": 606,
        "text": "Unsung Challenges of Building and Deploying Language Technologies for Low Resource Language Communities"
    },
    {
        "_id": 607,
        "text": "Aspect and Opinion Term Extraction for Aspect Based Sentiment Analysis of Hotel Reviews Using Transfer Learning"
    },
    {
        "_id": 608,
        "text": "Community Question Answering Platforms vs. Twitter for Predicting Characteristics of Urban Neighbourhoods"
    },
    {
        "_id": 609,
        "text": "Attention Optimization for Abstractive Document Summarization"
    },
    {
        "_id": 610,
        "text": "Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER"
    },
    {
        "_id": 611,
        "text": "Annotating Student Talk in Text-based Classroom Discussions"
    },
    {
        "_id": 612,
        "text": "Dependency or Span, End-to-End Uniform Semantic Role Labeling"
    },
    {
        "_id": 613,
        "text": "Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis"
    },
    {
        "_id": 614,
        "text": "Make Lead Bias in Your Favor: A Simple and Effective Method for News Summarization"
    },
    {
        "_id": 615,
        "text": "A Multi-level Neural Network for Implicit Causality Detection in Web Texts"
    },
    {
        "_id": 616,
        "text": "Passage Re-ranking with BERT"
    },
    {
        "_id": 617,
        "text": "Improving Slot Filling by Utilizing Contextual Information"
    },
    {
        "_id": 618,
        "text": "How do you correct run-on sentences it's not as easy as it seems"
    },
    {
        "_id": 619,
        "text": "Component Analysis for Visual Question Answering Architectures"
    },
    {
        "_id": 620,
        "text": "Reference-less Quality Estimation of Text Simplification Systems"
    },
    {
        "_id": 621,
        "text": "Improving Interaction Quality Estimation with BiLSTMs and the Impact on Dialogue Policy Learning"
    },
    {
        "_id": 622,
        "text": "Retrieval-based Goal-Oriented Dialogue Generation"
    },
    {
        "_id": 623,
        "text": "INFODENS: An Open-source Framework for Learning Text Representations"
    },
    {
        "_id": 624,
        "text": "AttSum: Joint Learning of Focusing and Summarization with Neural Attention"
    },
    {
        "_id": 625,
        "text": "Trading the Twitter Sentiment with Reinforcement Learning"
    },
    {
        "_id": 626,
        "text": "Semantic Structure and Interpretability of Word Embeddings"
    },
    {
        "_id": 627,
        "text": "Explaining Queries over Web Tables to Non-Experts"
    },
    {
        "_id": 628,
        "text": "Autocompletion interfaces make crowd workers slower, but their use promotes response diversity"
    },
    {
        "_id": 629,
        "text": "Regularizing Output Distribution of Abstractive Chinese Social Media Text Summarization for Improved Semantic Consistency"
    },
    {
        "_id": 630,
        "text": "A Discrete CVAE for Response Generation on Short-Text Conversation"
    },
    {
        "_id": 631,
        "text": "Short-Text Classification Using Unsupervised Keyword Expansion"
    },
    {
        "_id": 632,
        "text": "Language Identification on Massive Datasets of Short Message using an Attention Mechanism CNN"
    },
    {
        "_id": 633,
        "text": "Controlling Utterance Length in NMT-based Word Segmentation with Attention"
    },
    {
        "_id": 634,
        "text": "Global Greedy Dependency Parsing"
    },
    {
        "_id": 635,
        "text": "Tagged Back-Translation"
    },
    {
        "_id": 636,
        "text": "From Speech-to-Speech Translation to Automatic Dubbing"
    },
    {
        "_id": 637,
        "text": "Learning Rare Word Representations using Semantic Bridging"
    },
    {
        "_id": 638,
        "text": "Link Prediction using Embedded Knowledge Graphs"
    },
    {
        "_id": 639,
        "text": "Localization of Fake News Detection via Multitask Transfer Learning"
    },
    {
        "_id": 640,
        "text": "Spatial Concept Acquisition for a Mobile Robot that Integrates Self-Localization and Unsupervised Word Discovery from Spoken Sentences"
    },
    {
        "_id": 641,
        "text": "MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims"
    },
    {
        "_id": 642,
        "text": "Learning Multilingual Word Embeddings Using Image-Text Data"
    },
    {
        "_id": 643,
        "text": "Generating Natural Language Inference Chains"
    },
    {
        "_id": 644,
        "text": "Deep Representation Learning for Clustering of Health Tweets"
    },
    {
        "_id": 645,
        "text": "SOC: hunting the underground inside story of the ethereum Social-network Opinion and Comment"
    },
    {
        "_id": 646,
        "text": "Offensive Language and Hate Speech Detection for Danish"
    },
    {
        "_id": 647,
        "text": "Linguistic Fingerprints of Internet Censorship: the Case of SinaWeibo"
    },
    {
        "_id": 648,
        "text": "Multi-turn Inference Matching Network for Natural Language Inference"
    },
    {
        "_id": 649,
        "text": "The Logoscope: a Semi-Automatic Tool for Detecting and Documenting French New Words"
    },
    {
        "_id": 650,
        "text": "TextKD-GAN: Text Generation using KnowledgeDistillation and Generative Adversarial Networks"
    },
    {
        "_id": 651,
        "text": "Automating Political Bias Prediction"
    },
    {
        "_id": 652,
        "text": "Multi-Head Decoder for End-to-End Speech Recognition"
    },
    {
        "_id": 653,
        "text": "Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora"
    },
    {
        "_id": 654,
        "text": "Deeper Task-Specificity Improves Joint Entity and Relation Extraction"
    },
    {
        "_id": 655,
        "text": "A neural network system for transformation of regional cuisine style"
    },
    {
        "_id": 656,
        "text": "Measuring Social Bias in Knowledge Graph Embeddings"
    },
    {
        "_id": 657,
        "text": "Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems"
    },
    {
        "_id": 658,
        "text": "A Large-Scale Corpus for Conversation Disentanglement"
    },
    {
        "_id": 659,
        "text": "Visualizing and Measuring the Geometry of BERT"
    },
    {
        "_id": 660,
        "text": "When redundancy is rational: A Bayesian approach to 'overinformative' referring expressions"
    },
    {
        "_id": 661,
        "text": "ASR-free CNN-DTW keyword spotting using multilingual bottleneck features for almost zero-resource languages"
    },
    {
        "_id": 662,
        "text": "Rnn-transducer with language bias for end-to-end Mandarin-English code-switching speech recognition"
    },
    {
        "_id": 663,
        "text": "Embedding Multimodal Relational Data for Knowledge Base Completion"
    },
    {
        "_id": 664,
        "text": "Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension"
    },
    {
        "_id": 665,
        "text": "Additive Margin SincNet for Speaker Recognition"
    },
    {
        "_id": 666,
        "text": "Bidirectional Long-Short Term Memory for Video Description"
    },
    {
        "_id": 667,
        "text": "NNVLP: A Neural Network-Based Vietnamese Language Processing Toolkit"
    },
    {
        "_id": 668,
        "text": "A Deep Learning Architecture for De-identification of Patient Notes: Implementation and Evaluation"
    },
    {
        "_id": 669,
        "text": "Cross Lingual Cross Corpus Speech Emotion Recognition"
    },
    {
        "_id": 670,
        "text": "Location-Relative Attention Mechanisms For Robust Long-Form Speech Synthesis"
    },
    {
        "_id": 671,
        "text": "Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack"
    },
    {
        "_id": 672,
        "text": "ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation"
    },
    {
        "_id": 673,
        "text": "A human-editable Sign Language representation for software editing---and a writing system?"
    },
    {
        "_id": 674,
        "text": "Contextual LSTM (CLSTM) models for Large scale NLP tasks"
    },
    {
        "_id": 675,
        "text": "Ensemble-Based Deep Reinforcement Learning for Chatbots"
    },
    {
        "_id": 676,
        "text": "Impact of Coreference Resolution on Slot Filling"
    },
    {
        "_id": 677,
        "text": "Fully Automated Fact Checking Using External Sources"
    },
    {
        "_id": 678,
        "text": "A Probabilistic Generative Grammar for Semantic Parsing"
    },
    {
        "_id": 679,
        "text": "Harnessing the richness of the linguistic signal in predicting pragmatic inferences"
    },
    {
        "_id": 680,
        "text": "Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention"
    },
    {
        "_id": 681,
        "text": "Towards Task-Oriented Dialogue in Mixed Domains"
    },
    {
        "_id": 682,
        "text": "Assessing the Applicability of Authorship Verification Methods"
    },
    {
        "_id": 683,
        "text": "A Trolling Hierarchy in Social Media and A Conditional Random Field For Trolling Detection"
    },
    {
        "_id": 684,
        "text": "Word frequency and sentiment analysis of twitter messages during Coronavirus pandemic"
    },
    {
        "_id": 685,
        "text": "e-QRAQ: A Multi-turn Reasoning Dataset and Simulator with Explanations"
    },
    {
        "_id": 686,
        "text": "An overview of embedding models of entities and relationships for knowledge base completion"
    },
    {
        "_id": 687,
        "text": "Lingke: A Fine-grained Multi-turn Chatbot for Customer Service"
    },
    {
        "_id": 688,
        "text": "Learning Relational Dependency Networks for Relation Extraction"
    },
    {
        "_id": 689,
        "text": "Stance Classification for Rumour Analysis in Twitter: Exploiting Affective Information and Conversation Structure"
    },
    {
        "_id": 690,
        "text": "Bleaching Text: Abstract Features for Cross-lingual Gender Prediction"
    },
    {
        "_id": 691,
        "text": "Depressed individuals express more distorted thinking on social media"
    },
    {
        "_id": 692,
        "text": "A Tensorized Transformer for Language Modeling"
    },
    {
        "_id": 693,
        "text": "Improving Robustness of Task Oriented Dialog Systems"
    },
    {
        "_id": 694,
        "text": "Diverse Few-Shot Text Classification with Multiple Metrics"
    },
    {
        "_id": 695,
        "text": "Transfer Learning from LDA to BiLSTM-CNN for Offensive Language Detection in Twitter"
    },
    {
        "_id": 696,
        "text": "Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence"
    },
    {
        "_id": 697,
        "text": "Directions in Abusive Language Training Data: Garbage In, Garbage Out"
    },
    {
        "_id": 698,
        "text": "Automated Speech Generation from UN General Assembly Statements: Mapping Risks in AI Generated Texts"
    },
    {
        "_id": 699,
        "text": "Universal Dependency Parsing for Hindi-English Code-switching"
    },
    {
        "_id": 700,
        "text": "ALL-IN-1: Short Text Classification with One Model for All Languages"
    },
    {
        "_id": 701,
        "text": "Structural Scaffolds for Citation Intent Classification in Scientific Publications"
    },
    {
        "_id": 702,
        "text": "Aff2Vec: Affect--Enriched Distributional Word Representations"
    },
    {
        "_id": 703,
        "text": "Unsupervised Cross-lingual Representation Learning at Scale"
    },
    {
        "_id": 704,
        "text": "GoodNewsEveryone: A Corpus of News Headlines Annotated with Emotions, Semantic Roles, and Reader Perception"
    },
    {
        "_id": 705,
        "text": "LinkNBed: Multi-Graph Representation Learning with Entity Linkage"
    },
    {
        "_id": 706,
        "text": "A Multi-cascaded Deep Model for Bilingual SMS Classification"
    },
    {
        "_id": 707,
        "text": "Masakhane -- Machine Translation For Africa"
    },
    {
        "_id": 708,
        "text": "Simplify the Usage of Lexicon in Chinese NER"
    },
    {
        "_id": 709,
        "text": "Sampling strategies in Siamese Networks for unsupervised speech representation learning"
    },
    {
        "_id": 710,
        "text": "Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPU"
    },
    {
        "_id": 711,
        "text": "Transformer-based Cascaded Multimodal Speech Translation"
    },
    {
        "_id": 712,
        "text": "Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning"
    },
    {
        "_id": 713,
        "text": "Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German"
    },
    {
        "_id": 714,
        "text": "A Semi-automatic Method for Efficient Detection of Stories on Social Media"
    },
    {
        "_id": 715,
        "text": "MDE: Multi Distance Embeddings for Link Prediction in Knowledge Graphs"
    },
    {
        "_id": 716,
        "text": "Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset"
    },
    {
        "_id": 717,
        "text": "Neural Machine Translation System of Indic Languages -- An Attention based Approach"
    },
    {
        "_id": 718,
        "text": "Harvey Mudd College at SemEval-2019 Task 4: The Clint Buchanan Hyperpartisan News Detector"
    },
    {
        "_id": 719,
        "text": "Adaptive Scheduling for Multi-Task Learning"
    },
    {
        "_id": 720,
        "text": "Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment"
    },
    {
        "_id": 721,
        "text": "Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features"
    },
    {
        "_id": 722,
        "text": "Future Word Contexts in Neural Network Language Models"
    },
    {
        "_id": 723,
        "text": "Universal and non-universal text statistics: Clustering coefficient for language identification"
    },
    {
        "_id": 724,
        "text": "IndoSum: A New Benchmark Dataset for Indonesian Text Summarization"
    },
    {
        "_id": 725,
        "text": "BLEURT: Learning Robust Metrics for Text Generation"
    },
    {
        "_id": 726,
        "text": "Non-Projective Dependency Parsing with Non-Local Transitions"
    },
    {
        "_id": 727,
        "text": "KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments"
    },
    {
        "_id": 728,
        "text": "Hate Speech in Pixels: Detection of Offensive Memes towards Automatic Moderation"
    },
    {
        "_id": 729,
        "text": "A Stable Variational Autoencoder for Text Modelling"
    },
    {
        "_id": 730,
        "text": "Neural DrugNet"
    },
    {
        "_id": 731,
        "text": "Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets"
    },
    {
        "_id": 732,
        "text": "Improving Cross-Lingual Word Embeddings by Meeting in the Middle"
    },
    {
        "_id": 733,
        "text": "An Interactive Tool for Natural Language Processing on Clinical Text"
    },
    {
        "_id": 734,
        "text": "Cross-lingual Abstract Meaning Representation Parsing"
    },
    {
        "_id": 735,
        "text": "Canonicalizing Knowledge Base Literals"
    },
    {
        "_id": 736,
        "text": "Towards Personalized Dialog Policies for Conversational Skill Discovery"
    },
    {
        "_id": 737,
        "text": "BERT is Not a Knowledge Base (Yet): Factual Knowledge vs. Name-Based Reasoning in Unsupervised QA"
    },
    {
        "_id": 738,
        "text": "Concurrent Parsing of Constituency and Dependency"
    },
    {
        "_id": 739,
        "text": "Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention"
    },
    {
        "_id": 740,
        "text": "Named Entity Disambiguation for Noisy Text"
    },
    {
        "_id": 741,
        "text": "Question Asking as Program Generation"
    },
    {
        "_id": 742,
        "text": "Event detection in Colombian security Twitter news using fine-grained latent topic analysis"
    },
    {
        "_id": 743,
        "text": "Customized Image Narrative Generation via Interactive Visual Question Generation and Answering"
    },
    {
        "_id": 744,
        "text": "Ask to Learn: A Study on Curiosity-driven Question Generation"
    },
    {
        "_id": 745,
        "text": "Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation"
    },
    {
        "_id": 746,
        "text": "Multi-Source Syntactic Neural Machine Translation"
    },
    {
        "_id": 747,
        "text": "Self-attention based end-to-end Hindi-English Neural Machine Translation"
    },
    {
        "_id": 748,
        "text": "Contextual Recurrent Units for Cloze-style Reading Comprehension"
    },
    {
        "_id": 749,
        "text": "Graph-based Filtering of Out-of-Vocabulary Words for Encoder-Decoder Models"
    },
    {
        "_id": 750,
        "text": "Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion"
    },
    {
        "_id": 751,
        "text": "Supervised and Unsupervised Transfer Learning for Question Answering"
    },
    {
        "_id": 752,
        "text": "Multi-level Representations for Fine-Grained Typing of Knowledge Base Entities"
    },
    {
        "_id": 753,
        "text": "Careful Selection of Knowledge to solve Open Book Question Answering"
    },
    {
        "_id": 754,
        "text": "Rapid Adaptation of BERT for Information Extraction on Domain-Specific Business Documents"
    },
    {
        "_id": 755,
        "text": "Taking a Stance on Fake News: Towards Automatic Disinformation Assessment via Deep Bidirectional Transformer Language Models for Stance Detection"
    },
    {
        "_id": 756,
        "text": "Explaining Recurrent Neural Network Predictions in Sentiment Analysis"
    },
    {
        "_id": 757,
        "text": "Multi-task learning to improve natural language understanding"
    },
    {
        "_id": 758,
        "text": "Inferring the size of the causal universe: features and fusion of causal attribution networks"
    },
    {
        "_id": 759,
        "text": "Why Do Urban Legends Go Viral?"
    },
    {
        "_id": 760,
        "text": "An efficient automated data analytics approach to large scale computational comparative linguistics"
    },
    {
        "_id": 761,
        "text": "A Dictionary-based Approach to Racism Detection in Dutch Social Media"
    },
    {
        "_id": 762,
        "text": "Neural Factor Graph Models for Cross-lingual Morphological Tagging"
    },
    {
        "_id": 763,
        "text": "That and There: Judging the Intent of Pointing Actions with Robotic Arms"
    },
    {
        "_id": 764,
        "text": "Weakly-supervised Neural Semantic Parsing with a Generative Ranker"
    },
    {
        "_id": 765,
        "text": "Neural Machine Translation with Supervised Attention"
    },
    {
        "_id": 766,
        "text": "Dover: A Method for Combining Diarization Outputs"
    },
    {
        "_id": 767,
        "text": "Detecting Fake News with Capsule Neural Networks"
    },
    {
        "_id": 768,
        "text": "All Fingers are not Equal: Intensity of References in Scientific Articles"
    },
    {
        "_id": 769,
        "text": "Code-Switching Language Modeling using Syntax-Aware Multi-Task Learning"
    },
    {
        "_id": 770,
        "text": "Gender Bias in Neural Natural Language Processing"
    },
    {
        "_id": 771,
        "text": "Satirical News Detection with Semantic Feature Extraction and Game-theoretic Rough Sets"
    },
    {
        "_id": 772,
        "text": "Combining Acoustics, Content and Interaction Features to Find Hot Spots in Meetings"
    },
    {
        "_id": 773,
        "text": "Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference"
    },
    {
        "_id": 774,
        "text": "Good-Enough Compositional Data Augmentation"
    },
    {
        "_id": 775,
        "text": "DpgMedia2019: A Dutch News Dataset for Partisanship Detection"
    },
    {
        "_id": 776,
        "text": "Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order"
    },
    {
        "_id": 777,
        "text": "CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain"
    },
    {
        "_id": 778,
        "text": "Limits of Detecting Text Generated by Large-Scale Language Models"
    },
    {
        "_id": 779,
        "text": "ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension"
    },
    {
        "_id": 780,
        "text": "Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions"
    },
    {
        "_id": 781,
        "text": "Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks"
    },
    {
        "_id": 782,
        "text": "Racial Bias in Hate Speech and Abusive Language Detection Datasets"
    },
    {
        "_id": 783,
        "text": "Think Globally, Embed Locally --- Locally Linear Meta-embedding of Words"
    },
    {
        "_id": 784,
        "text": "Simultaneous Speech Recognition and Speaker Diarization for Monaural Dialogue Recordings with Target-Speaker Acoustic Models"
    },
    {
        "_id": 785,
        "text": "Modeling Global Syntactic Variation in English Using Dialect Classification"
    },
    {
        "_id": 786,
        "text": "A Parallel Corpus of Theses and Dissertations Abstracts"
    },
    {
        "_id": 787,
        "text": "Casting a Wide Net: Robust Extraction of Potentially Idiomatic Expressions"
    },
    {
        "_id": 788,
        "text": "Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages"
    },
    {
        "_id": 789,
        "text": "Image Captioning: Transforming Objects into Words"
    },
    {
        "_id": 790,
        "text": "Semi-Supervised Methods for Out-of-Domain Dependency Parsing"
    },
    {
        "_id": 791,
        "text": "Rethinking Exposure Bias In Language Modeling"
    },
    {
        "_id": 792,
        "text": "Zero-Shot Relation Extraction via Reading Comprehension"
    },
    {
        "_id": 793,
        "text": "Multi-scale Octave Convolutions for Robust Speech Recognition"
    },
    {
        "_id": 794,
        "text": "A Label Semantics Approach to Linguistic Hedges"
    },
    {
        "_id": 795,
        "text": "Behavior Gated Language Models"
    },
    {
        "_id": 796,
        "text": "Open-World Knowledge Graph Completion"
    },
    {
        "_id": 797,
        "text": "The STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources"
    },
    {
        "_id": 798,
        "text": "Using Gaussian Processes for Rumour Stance Classification in Social Media"
    },
    {
        "_id": 799,
        "text": "Topic Spotting using Hierarchical Networks with Self Attention"
    },
    {
        "_id": 800,
        "text": "Learning Personalized End-to-End Goal-Oriented Dialog"
    },
    {
        "_id": 801,
        "text": "Determining the Scale of Impact from Denial-of-Service Attacks in Real Time Using Twitter"
    },
    {
        "_id": 802,
        "text": "#MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement"
    },
    {
        "_id": 803,
        "text": "Introducing RONEC -- the Romanian Named Entity Corpus"
    },
    {
        "_id": 804,
        "text": "A General-Purpose Tagger with Convolutional Neural Networks"
    },
    {
        "_id": 805,
        "text": "Towards Machine Comprehension of Spoken Content: Initial TOEFL Listening Comprehension Test by Machine"
    },
    {
        "_id": 806,
        "text": "Principles for Developing a Knowledge Graph of Interlinked Events from News Headlines on Twitter"
    },
    {
        "_id": 807,
        "text": "Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs"
    },
    {
        "_id": 808,
        "text": "SimplerVoice: A Key Message&Visual Description Generator System for Illiteracy"
    },
    {
        "_id": 809,
        "text": "Modelling Semantic Categories using Conceptual Neighborhood"
    },
    {
        "_id": 810,
        "text": "The Transference Architecture for Automatic Post-Editing"
    },
    {
        "_id": 811,
        "text": "Emerging Language Spaces Learned From Massively Multilingual Corpora"
    },
    {
        "_id": 812,
        "text": "An Annotation Scheme of A Large-scale Multi-party Dialogues Dataset for Discourse Parsing and Machine Comprehension"
    },
    {
        "_id": 813,
        "text": "Unsupervised Learning of Style-sensitive Word Vectors"
    },
    {
        "_id": 814,
        "text": "Bayesian Sparsification of Recurrent Neural Networks"
    },
    {
        "_id": 815,
        "text": "Towards a Robust Deep Neural Network in Text Domain A Survey"
    },
    {
        "_id": 816,
        "text": "Deep Contextualized Acoustic Representations For Semi-Supervised Speech Recognition"
    },
    {
        "_id": 817,
        "text": "Deep Neural Machine Translation with Linear Associative Unit"
    },
    {
        "_id": 818,
        "text": "Graph Neural Networks with Generated Parameters for Relation Extraction"
    },
    {
        "_id": 819,
        "text": "On the emergence of syntactic structures: quantifying and modelling duality of patterning"
    },
    {
        "_id": 820,
        "text": "TArC: Incrementally and Semi-Automatically Collecting a Tunisian Arabish Corpus"
    },
    {
        "_id": 821,
        "text": "Speakers account for asymmetries in visual perspective so listeners don't have to"
    },
    {
        "_id": 822,
        "text": "Domain Adaptation via Teacher-Student Learning for End-to-End Speech Recognition"
    },
    {
        "_id": 823,
        "text": "HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering"
    },
    {
        "_id": 824,
        "text": "Question Answering and Question Generation as Dual Tasks"
    },
    {
        "_id": 825,
        "text": "Multimodal Word Distributions"
    },
    {
        "_id": 826,
        "text": "Task-driven Visual Saliency and Attention-based Visual Question Answering"
    },
    {
        "_id": 827,
        "text": "KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning"
    },
    {
        "_id": 828,
        "text": "Localized Flood DetectionWith Minimal Labeled Social Media Data Using Transfer Learning"
    },
    {
        "_id": 829,
        "text": "Applications of Online Deep Learning for Crisis Response Using Social Media Information"
    },
    {
        "_id": 830,
        "text": "Small and Practical BERT Models for Sequence Labeling"
    },
    {
        "_id": 831,
        "text": "Dialogue Act Recognition via CRF-Attentive Structured Network"
    },
    {
        "_id": 832,
        "text": "Named Entity Recognition on Twitter for Turkish using Semi-supervised Learning with Word Embeddings"
    },
    {
        "_id": 833,
        "text": "BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization"
    },
    {
        "_id": 834,
        "text": "Efficiency through Auto-Sizing: Notre Dame NLP's Submission to the WNGT 2019 Efficiency Task"
    },
    {
        "_id": 835,
        "text": "Neural Network Translation Models for Grammatical Error Correction"
    },
    {
        "_id": 836,
        "text": "Context-aware Deep Model for Entity Recommendation in Search Engine at Alibaba"
    },
    {
        "_id": 837,
        "text": "Rapid Classification of Crisis-Related Data on Social Networks using Convolutional Neural Networks"
    },
    {
        "_id": 838,
        "text": "Information-Theoretic Probing for Linguistic Structure"
    },
    {
        "_id": 839,
        "text": "Detecting and Extracting Events from Text Documents"
    },
    {
        "_id": 840,
        "text": "A Sketch-Based System for Semantic Parsing"
    },
    {
        "_id": 841,
        "text": "Progressive Joint Modeling in Unsupervised Single-channel Overlapped Speech Recognition"
    },
    {
        "_id": 842,
        "text": "NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter"
    },
    {
        "_id": 843,
        "text": "What comes next? Extractive summarization by next-sentence prediction"
    },
    {
        "_id": 844,
        "text": "Translation of Patent Sentences with a Large Vocabulary of Technical Terms Using Neural Machine Translation"
    },
    {
        "_id": 845,
        "text": "Forex trading and Twitter: Spam, bots, and reputation manipulation"
    },
    {
        "_id": 846,
        "text": "Unsupervised Text Summarization via Mixed Model Back-Translation"
    },
    {
        "_id": 847,
        "text": "Putting Self-Supervised Token Embedding on the Tables"
    },
    {
        "_id": 848,
        "text": "English verb regularization in books and tweets"
    },
    {
        "_id": 849,
        "text": "HuggingFace's Transformers: State-of-the-art Natural Language Processing"
    },
    {
        "_id": 850,
        "text": "A framework for streamlined statistical prediction using topic models"
    },
    {
        "_id": 851,
        "text": "LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization"
    },
    {
        "_id": 852,
        "text": "Language-Based Image Editing with Recurrent Attentive Models"
    },
    {
        "_id": 853,
        "text": "MULTEXT-East"
    },
    {
        "_id": 854,
        "text": "BERT Goes to Law School: Quantifying the Competitive Advantage of Access to Large Legal Corpora in Contract Understanding"
    },
    {
        "_id": 855,
        "text": "Proposal Towards a Personalized Knowledge-powered Self-play Based Ensemble Dialog System"
    },
    {
        "_id": 856,
        "text": "Learning End-to-End Goal-Oriented Dialog"
    },
    {
        "_id": 857,
        "text": "Dynamic Prosody Generation for Speech Synthesis using Linguistics-Driven Acoustic Embedding Selection"
    },
    {
        "_id": 858,
        "text": "DCN+: Mixed Objective and Deep Residual Coattention for Question Answering"
    },
    {
        "_id": 859,
        "text": "Bootstrapping Generators from Noisy Data"
    },
    {
        "_id": 860,
        "text": "Competency Questions and SPARQL-OWL Queries Dataset and Analysis"
    },
    {
        "_id": 861,
        "text": "Question Answering via Integer Programming over Semi-Structured Knowledge"
    },
    {
        "_id": 862,
        "text": "Comparing morphological complexity of Spanish, Otomi and Nahuatl"
    },
    {
        "_id": 863,
        "text": "Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation"
    },
    {
        "_id": 864,
        "text": "Summary Level Training of Sentence Rewriting for Abstractive Summarization"
    },
    {
        "_id": 865,
        "text": "Contextual Out-of-Domain Utterance Handling With Counterfeit Data Augmentation"
    },
    {
        "_id": 866,
        "text": "Efficient keyword spotting using dilated convolutions and gating"
    },
    {
        "_id": 867,
        "text": "An Open-World Extension to Knowledge Graph Completion Models"
    },
    {
        "_id": 868,
        "text": "Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks"
    },
    {
        "_id": 869,
        "text": "Red Dragon AI at TextGraphs 2019 Shared Task: Language Model Assisted Explanation Generation"
    },
    {
        "_id": 870,
        "text": "Impact of Sentiment Detection to Recognize Toxic and Subversive Online Comments"
    },
    {
        "_id": 871,
        "text": "Phase transitions in a decentralized graph-based approach to human language"
    },
    {
        "_id": 872,
        "text": "Improving Pre-Trained Multilingual Models with Vocabulary Expansion"
    },
    {
        "_id": 873,
        "text": "Explaining Predictions of Non-Linear Classifiers in NLP"
    },
    {
        "_id": 874,
        "text": "Hate Speech Detection on Vietnamese Social Media Text using the Bidirectional-LSTM Model"
    },
    {
        "_id": 875,
        "text": "Stochastic Answer Networks for Machine Reading Comprehension"
    },
    {
        "_id": 876,
        "text": "Grounded Agreement Games: Emphasizing Conversational Grounding in Visual Dialogue Settings"
    },
    {
        "_id": 877,
        "text": "Natural Language Processing with Small Feed-Forward Networks"
    },
    {
        "_id": 878,
        "text": "Back to the Future -- Sequential Alignment of Text Representations"
    },
    {
        "_id": 879,
        "text": "Analyzing Language Learned by an Active Question Answering Agent"
    },
    {
        "_id": 880,
        "text": "Deep Semi-Supervised Learning with Linguistically Motivated Sequence Labeling Task Hierarchies"
    },
    {
        "_id": 881,
        "text": "Context-Aware Learning for Neural Machine Translation"
    },
    {
        "_id": 882,
        "text": "Recurrent Deep Stacking Networks for Speech Recognition"
    },
    {
        "_id": 883,
        "text": "Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning"
    },
    {
        "_id": 884,
        "text": "Leveraging Recurrent Neural Networks for Multimodal Recognition of Social Norm Violation in Dialog"
    },
    {
        "_id": 885,
        "text": "Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge"
    },
    {
        "_id": 886,
        "text": "Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling"
    },
    {
        "_id": 887,
        "text": "A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network"
    }
]