Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings.
Zenan ZhaiDat Quoc NguyenSaber A. AkhondiCamilo ThorneChristian DruckenbrodtTrevor CohnMichelle GregoryKarin VerspoorPublished in: BioNLP@ACL (2019)
Keyphrases
- named entity recognition
- named entities
- information extraction
- natural language processing
- co occurrence
- maximum entropy
- maximum entropy classifier
- text summarization
- semi supervised
- conditional random fields
- sequence labeling
- named entity recognizer
- annotated corpus
- information retrieval
- classifier ensemble
- noun phrases
- word sense disambiguation
- relation extraction
- n gram
- higher order
- text mining
- expert systems
- proper names
- chinese named entity recognition
- question answering
- query expansion
- pos taggers
- natural language
- databases
- named entity disambiguation