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BMCBI
2006

Exploring supervised and unsupervised methods to detect topics in biomedical text

11 years 1 months ago
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, 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. Results: We have explored the methods of Topic Spotting, a task of text categorization that applies the supervised machine-learning technique na
Minsuk Lee, Weiqing Wang, Hong Yu
Added 10 Dec 2010
Updated 10 Dec 2010
Type Journal
Year 2006
Where BMCBI
Authors Minsuk Lee, Weiqing Wang, Hong Yu
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