A hierarchical framework for multi-document summarization of dissertation abstracts

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2555, Issue , 2002, Pages 99-110

  Khoo, Christopher S G ^a   Ou, Shiyan ^a   Goh, Dion Hoe Lian ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL LIBRARIES;

AUTOMATIC GENERATION; CROSS-DOCUMENT STRUCTURE; DISCOURSE STRUCTURE; HIERARCHICAL VARIABLES; MICRO-LEVEL STRUCTURES; MULTI-DOCUMENT SUMMARIZATION; PROBLEM STATEMENT; VISUALIZATION METHOD;

ABSTRACTING;

EID: 84949223281     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (9)

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4. Marcu, D. (1997). The rhetorical parsing, summarization, and generation of natural language texts. Ph.D. Dissertation, Department of Computer Science, University of Toronto.
5. Radev, D. (2000). A common theory of information fusion from multiple text sources step one: cross-document structure. In Proceedings of the 1st SIGdial Workshop on Discourse and Dialogue. Available at: http://www.sigdial.org/sigdialworkshop/proceedings/ radev.pdf
6. Sowa, J. (1984). Conceptual structures: Information processing in mind and machine. Reading, MA: Addison-Wesley.
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9. Zamir, O., and Etzioni, O. (1999). Grouper: A dynamic clustering interface to web search results. In Proceedings of the Eighth International World Wide Web Conference. Available at: http://www8.org/w8-papers/3a-search-query/dynamic/dynamic.html