A Bootstrapping Approach With CRF and Deep Learning Models for Improving the Biomedical Named Entity Recognition in Multi-Domains.
Juae KimYoungjoong KoJungyun SeoPublished in: IEEE Access (2019)
Keyphrases
- named entity recognition
- learning models
- conditional random fields
- information extraction
- sequence labeling
- maximum entropy
- genia corpus
- graphical models
- crf model
- text summarization
- probabilistic model
- higher order
- relation extraction
- hidden markov models
- natural language processing
- markov random field
- annotated corpus
- generative model
- machine learning
- named entities
- pairwise
- learning tasks
- real world
- data sets
- question answering
- text mining
- bayesian networks
- training data