annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- pt
language_bcp47:
- pt-BR
license:
- unknown
multilinguality:
- monolingual
paperswithcode_id: ulyssesner-br
pretty_name: pl-corpus
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- structure-prediction
task_ids:
- named-entity-recognition
Dataset Card for pl-corpus
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: UlyssesNER-Br homepage
- Repository: UlyssesNER-Br repository
- Paper: UlyssesNER-Br: A corpus of brazilian legislative documents for named entity recognition. In: Computational Processing of the Portuguese Language
- Point of Contact: Hidelberg O. Albuquerque
Dataset Summary
PL-corpus is part of the UlyssesNER-Br, a corpus of Brazilian Legislative Documents for NER with quality baselines The presented corpus consists of 150 public bills from Brazilian Chamber of Deputies, manually annotated. Its contains semantic categories and types.
Supported Tasks and Leaderboards
[Needs More Information]
Languages
Brazilian Portuguese.
Dataset Structure
Data Instances
[Needs More Information]
Data Fields
[Needs More Information]
Data Splits
[Needs More Information]
Dataset Creation
Curation Rationale
[Needs More Information]
Source Data
Initial Data Collection and Normalization
[Needs More Information]
Who are the source language producers?
[Needs More Information]
Annotations
Annotation process
[Needs More Information]
Who are the annotators?
[Needs More Information]
Personal and Sensitive Information
[Needs More Information]
Considerations for Using the Data
Social Impact of Dataset
[Needs More Information]
Discussion of Biases
[Needs More Information]
Other Known Limitations
[Needs More Information]
Additional Information
Dataset Curators
[Needs More Information]
Licensing Information
[Needs More Information]
Citation Information
@InProceedings{ALBUQUERQUE2022, author="Albuquerque, Hidelberg O. and Costa, Rosimeire and Silvestre, Gabriel and Souza, Ellen and da Silva, N{'a}dia F. F. and Vit{'o}rio, Douglas and Moriyama, Gyovana and Martins, Lucas and Soezima, Luiza and Nunes, Augusto and Siqueira, Felipe and Tarrega, Jo{~a}o P. and Beinotti, Joao V. and Dias, Marcio and Silva, Matheus and Gardini, Miguel and Silva, Vinicius and de Carvalho, Andr{'e} C. P. L. F. and Oliveira, Adriano L. I.", title="{UlyssesNER-Br}: A Corpus of Brazilian Legislative Documents for Named Entity Recognition", booktitle="Computational Processing of the Portuguese Language", year="2022", pages="3--14", }