Measuring the effect of different types of unsupervised word representations on Medical Named Entity Recognition.
Arantza CasillasNerea EzeizaIakes GoenagaAlicia PérezXabier SotoPublished in: Int. J. Medical Informatics (2019)
Keyphrases
- named entity recognition
- semi supervised
- named entities
- information extraction
- natural language processing
- pos taggers
- conditional random fields
- text summarization
- co occurrence
- maximum entropy classifier
- maximum entropy
- named entity recognizer
- unsupervised learning
- relation extraction
- annotated corpus
- n gram
- sequence labeling
- proper names
- word sense disambiguation
- pos tagging
- probabilistic model
- chinese named entity recognition
- machine learning
- classifier ensemble
- supervised learning
- image processing
- part of speech
- question answering
- text classification
- text mining
- pairwise
- expert systems
- named entity disambiguation