A conditional random fields approach to biomedical named entity recognition

2007 ◽  
Vol 24 (6) ◽  
pp. 838-844 ◽  
Author(s):  
Haochang Wang ◽  
Tiejun Zhao ◽  
Sheng Li ◽  
Hao Yu
Keyword(s):  
Random Fields ◽  
Conditional Random Fields ◽  
Named Entity Recognition ◽  
Entity Recognition ◽  
Named Entity ◽  
Biomedical Named Entity Recognition

scholarly journals Conditional Random Fields for Biomedical Named Entity Recognition Revisited

2020 ◽  
Author(s):  
Xie-Yuan Xie
Keyword(s):  
Random Fields ◽  
Conditional Random Fields ◽  
Named Entity Recognition ◽  
Entity Recognition ◽  
Biomedical Domain ◽  
Minimal Set ◽  
Named Entities ◽  
Named Entity ◽  
Biomedical Texts ◽  
Biomedical Named Entity Recognition

Abstract Named Entity Recognition (NER) is a key task which automatically extracts Named Entities (NE) from the text. Names of persons, places, date and time are examples of NEs. We are applying Conditional Random Fields (CRFs) for NER in biomedical domain. Examples of NEs in biomedical texts are gene, proteins. We used a minimal set of features to train CRF algorithm and obtained a good results for biomedical texts.

Named entity recognition based on conditional random fields

2017 ◽  
Vol 22 (S3) ◽  
pp. 5195-5206 ◽  
Author(s):  
Shengli Song ◽  
Nan Zhang ◽  
Haitao Huang
Keyword(s):  
Random Fields ◽  
Conditional Random Fields ◽  
Named Entity Recognition ◽  
Entity Recognition ◽  
Named Entity
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