Adversarial Transfer Learning for Biomedical Named Entity Recognition
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- Adversarial Transfer Learning for Biomedical Named Entity Recognition
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We automatically create enormous, free and multilingual silver-standard training annotations for named entity recognition (ner) by exploiting the text and structure of Wikipedia. Most ner systems rely on statistical models of annotated data to identify ...
Unsupervised biomedical named entity recognition
Display Omitted BM-NER is approached by an unsupervised stepwise method.Noun phrase chunking is a good approximation of boundary detection.Distributional semantics works well in classifying entities.The system performs well on clinical and biological ...
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Association for Computing Machinery
New York, NY, United States
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