Exploring supervised and unsupervised methods to detect topics in biomedical text |
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Authors: | Minsuk Lee Weiqing Wang Hong Yu |
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Institution: | (1) Department of Biomedical Informatics, Columbia University, 622West, 168th Street, VC-5, NY 10032, USA;(2) Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, NY 10461, USA |
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Abstract: | 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, text summarization and question answering; and is a necessary step towards the building of an information
system that provides an efficient way for biologists to seek information from an ocean of literature. |
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Keywords: | |
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