--- license: cc-by-4.0 datasets: - jihyoung/ConversationChronicles language: - en pipeline_tag: summarization --- # 👫 ReBot - Summarization Module ⏰ ReBot is a novel multi-session dialgoue model which can generate dialogue with chronological dynamics! ReBot consists two modules: (1) chronological summarization module; (2) dialogue generation module. **This repoistory for dialogue summarization module.** You can check generation module on [this repoistory](https://huggingface.co/jihyoung/rebot-generation). 🚨 Please be cautious when testing our model with the Hosted Inference API. Our model takes sequences as input, so you should provide sequences as input through the API as well. ## Model description + Paper: [Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversations](https://arxiv.org/abs/2310.13420) + Dataset : [Conversation Chronicles](https://huggingface.co/datasets/jihyoung/ConversationChronicles) + Summarization Module of Model : this repoistory + Generation Module of Model : [dialogue generation module](https://huggingface.co/jihyoung/rebot-generation) ## Load with Transformers To load our dataset with Hugging Face Transformers, please use the following code: ```python from transformers import pipeline summarizer = pipeline("summarization", model="jihyoung/rebot-summarization") ``` ## Citation Information ``` @inproceedings{jang-etal-2023-conversation, title = "Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversations", author = "Jang, Jihyoung and Boo, Minseong and Kim, Hyounghun", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing", month = dec, year = "2023", address = "Singapore", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2023.emnlp-main.838", doi = "10.18653/v1/2023.emnlp-main.838", pages = "13584--13606", } ```