UlyssesNERQ: Expanding Queries from Brazilian Portuguese Legislative Documents through Named Entity Recognition.
Hidelberg AlbuquerqueEllen SouzaTainan SilvaRafael P. GouveiaFlávio Rocha JuniorDouglas VitórioNádia Félix F. da SilvaAndré C. P. L. F. de CarvalhoAdriano Lorena Inácio de OliveiraFrancisco Edmundo de AndradePublished in: PROPOR (2024)
Keyphrases
- named entity recognition
- brazilian portuguese
- information extraction
- named entities
- user queries
- natural language processing
- text documents
- retrieval systems
- maximum entropy
- query terms
- machine translation
- text summarization
- information retrieval
- conditional random fields
- information retrieval systems
- relevant documents
- semi supervised
- document collections
- proper names
- relation extraction
- web search engines
- annotated corpus
- xml documents
- classifier ensemble
- text mining
- document retrieval
- document clustering
- search engine
- keywords
- retrieval model
- wikipedia articles
- unsupervised learning
- databases
- query expansion
- maximum entropy classifier