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Exploring supervised and unsupervised methods to detect topics in biomedical text
BACKGROUND: Topic detection is a task that automatically identifies topics (e.g., "biochemistry" and "protein structure") in scientific articles based on information content. Topic detection will benefit many other natural language processing tasks including information retrieval...
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| Main Authors: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
BioMed Central
2006
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1472693/ https://ncbi.nlm.nih.gov/pubmed/16539745 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-7-140 |
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