CENTAL at SemEval-2016 Task 12: a linguistically fed CRF model for medical and temporal information extraction.
Charlotte HansartDamien De MeyerePatrick WatrinAndré BittarCédrick FaironPublished in: SemEval@NAACL-HLT (2016)
Keyphrases
- conditional random fields
- crf model
- information extraction
- word sense disambiguation
- sequence labeling
- named entity recognition
- natural language processing
- long range
- random fields
- maximum entropy
- graphical models
- superpixels
- text mining
- information retrieval
- pairwise
- machine learning
- question answering
- higher order
- named entities
- hidden markov models
- generative model
- free text
- probabilistic model
- markov random field
- natural language