FLERT-Matcher: A Two-Step Approach for Clinical Named Entity Recognition and Normalization.
Matías RojasJose BarrosMauricio AranedaJocelyn DunstanPublished in: IberLEF@SEPLN (2022)
Keyphrases
- named entity recognition
- information extraction
- named entities
- natural language processing
- text summarization
- maximum entropy
- semi supervised
- conditional random fields
- hand coded
- relation extraction
- annotated corpus
- classifier ensemble
- natural language
- sequence labeling
- named entity disambiguation
- proper names
- databases
- maximum likelihood
- domain specific
- text mining
- expert systems
- computer vision