A CRFs-Based Approach Empowered with Word Representation Features to Learning Biomedical Named Entities from Medical Text.
Wenxiu XieSihui FuShengyi JiangTianyong HaoPublished in: SETE@ICWL (2017)
Keyphrases
- named entities
- named entity recognition
- co occurrence
- information extraction
- text mining
- contextual features
- conditional random fields
- text corpus
- learning algorithm
- supervised learning
- text documents
- keywords
- noun phrases
- question answering
- word pairs
- named entity disambiguation
- text summarization
- named entity extraction
- unsupervised learning
- higher order
- natural language processing
- feature space
- reinforcement learning
- image segmentation
- news articles
- global context
- news corpus