Bete: A Brazilian Portuguese Dataset for Named Entity Recognition and Relation Extraction in the Diabetes Healthcare Domain.
Lucas PavanelliYohan Bonescki GumielThiago Castro FerreiraAdriana S. PaganoEduardo Sany LaberPublished in: BRACIS (3) (2023)
Keyphrases
- relation extraction
- named entity recognition
- named entities
- information extraction
- domain specific
- brazilian portuguese
- natural language processing
- annotated corpus
- semantic role labeling
- text summarization
- maximum entropy
- conditional random fields
- semi supervised
- automatic extraction
- named entity recognizer
- question answering
- reference resolution
- text mining
- machine translation
- artificial intelligence
- semantic features
- machine learning
- information retrieval
- semantic relations
- feature selection
- unsupervised learning
- graphical models
- co occurrence