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Displaying 1-6 out of 6 total
Using MEDLINE as a Knowledge Source for Disambiguating Abbreviations in Full-Text Biomedical Journal Articles
Found in: Computer-Based Medical Systems, IEEE Symposium on
By Hong Yu, Won Kim, Vasileios Hatzivassiloglou, W. John Wilbur
Issue Date:June 2004
pp. 27
Biomedical abbreviations and acronyms are widely used in biomedical literature. Since many abbreviations represent important content in biomedical literature, information retrieval and extraction benefits from identifying the meanings of biomedical abbrevi...
 
Leveraging a Common Representation for Personalized Search and Summarization in a Medical Digital Library
Found in: Digital Libraries, Joint Conference on
By Kathleen R. McKeown, Noemie Elhadad, Vasileios Hatzivassiloglou
Issue Date:May 2003
pp. 159
Despite the large amount of online medical literature, it can be difficult for clinicians to find relevant information at the point of patient care. In this paper, we present techniques to personalize the results of search, making use of the online patient...
 
PERSIVAL, a Aystem for Personalized Search and Summarization over Multimedia Healthcare Information
Found in: Digital Libraries, Joint Conference on
By Kathleen R. McKeown, Shih-Fu Chang, James Cimino, Steven K. Feiner, Carol Friedman, Luis Gravano, Vasileios Hatzivassiloglou, Steven Johnson, Desmond A. Jordan, Judith L. Klavans, André Kushniruk, Vimla Patel, Simone Teufel
Issue Date:June 2001
pp. 331-340
In healthcare settings, patients need access to online information that can help them understand their medical situation. Physicians need information that is clinically relevant to an individual patient. In this paper, we present our progress on developing...
 
Simplifying Data Access: The Energy Data Collection Project
Found in: Computer
By José Luis Ambite, Yigal Arens, Eduard Hovy, Andrew Philpot, Luis Gravano, Vasileios Hatzivassiloglou, Judith Klavans
Issue Date:February 2001
pp. 47-54
<p>Using technology developed at the University of Southern California's Information Sciences Institute and Columbia University's Department of Computer Science and its Center for Research on Information Access, the Digital Government Research Center...
 
A large scale, corpus-based approach for automatically disambiguating biomedical abbreviations
Found in: ACM Transactions on Information Systems (TOIS)
By Hong Yu, John Wilbur, Vasileios Hatzivassiloglou, Won Kim
Issue Date:July 2006
pp. 380-404
Abbreviations and acronyms are widely used in the biomedical literature and many of them represent important biomedical concepts. Because many abbreviations are ambiguous (e.g., CAT denotes both chloramphenicol acetyl transferase and computed axial tomogra...
     
An investigation of linguistic features and clustering algorithms for topical document clustering
Found in: Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '00)
By Ankineedu Maganti, Luis Gravano, Vasileios Hatzivassiloglou
Issue Date:July 2000
pp. 224-231
We investigate four hierarchical clustering methods (single-link, complete-link, groupwise-average, and single-pass) and two linguistically motivated text features (noun phrase heads and proper names) in the context of document clustering. A statistical mo...
     
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