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BMCBI
2006
127views more  BMCBI 2006»
14 years 9 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 infor...
Minsuk Lee, Weiqing Wang, Hong Yu
WWW
2006
ACM
15 years 10 months ago
Topical TrustRank: using topicality to combat web spam
Web spam is behavior that attempts to deceive search engine ranking algorithms. TrustRank is a recent algorithm that can combat web spam. However, TrustRank is vulnerable in the s...
Baoning Wu, Vinay Goel, Brian D. Davison
CIKM
2009
Springer
15 years 4 months ago
Topic and keyword re-ranking for LDA-based topic modeling
Topic-based text summaries promise to help average users quickly understand a text collection and derive insights. Recent research has shown that the Latent Dirichlet Allocation (...
Yangqiu Song, Shimei Pan, Shixia Liu, Michelle X. ...
IRAL
2003
ACM
15 years 2 months ago
Improving summarization performance by sentence compression: a pilot study
In this paper we study the effectiveness of applying sentence compression on an extraction based multi-document summarization system. Our results show that pure syntactic-based co...
Chin-Yew Lin
HICSS
2000
IEEE
118views Biometrics» more  HICSS 2000»
15 years 1 months ago
Discourse Segmentation in Aid of Document Summarization
This paper describes work to enhance a sentencebased summarizer with notions of salience, dynamicallyadjustable summary size, discourse segmentation, and awareness of topic shifts...
Branimir Boguraev, Mary S. Neff