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Clinical Word Sense Disambiguation with Interactive Search and Classification
Resolving word ambiguity in clinical text is critical for many natural language processing applications. Effective word sense disambiguation (WSD) systems rely on training a machine learning based classifier with abundant clinical text that is accurately annotated, the creation of which can be costl...
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| 出版年: | AMIA Annu Symp Proc |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
American Medical Informatics Association
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5333264/ https://ncbi.nlm.nih.gov/pubmed/28269966 |
| タグ: |
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