A Hierarchical Framework for Multi-document Summarization of Dissertation Abstracts
This paper reports initial work on developing methods for automatic generation of multi-document summaries of dissertation abstracts in a digital library. The focus is on automatically generating a summary of a set of dissertation abstracts retrieved in response to user query, and presenting the summary using a visualization method. A hierarchical variable-based framework for multi-document summarization of dissertation abstracts in sociology and psychology is presented. The framework makes use of macro-level and micro-level discourse structure of dissertation abstracts as well as cross-document structure. The micro-level structure of problem statements found in a sample of 50 dissertation abstracts was analyzed, and the common features found are described in the paper. A demonstration prototype with a tree-view interface for presenting multi-document abstracts has been implemented.
KeywordsDomestic Violence Discourse Structure Dissertation Abstract School Violence Hierarchical Framework
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- 1.Bell, A., & Garrett, P. (19 98). Media and discourse: A critical overview. Approaches to Media Discourse, 65–103. Oxford: Malden.Google Scholar
- 3.Mann, W., & Thompson, S. (1988). Rhetorical structure theory: Toward a functional theory of text organization. Text, 8(3), 243–281.Google Scholar
- 4.Marcu, D. (1997). The rhetorical parsing, summarization, and generation of natural language texts. Ph.D. Dissertation, Department of Computer Science, University of Toronto.Google Scholar
- 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.Google Scholar
- 7.Spink, A., & Xu, J.L. (2000). Selected results from a large study of Web searching: the Excite study. Information Research [Online], 6(1). Available at: http://informationr.net/ir/6-1/paper90.html
- 8.Trochim, W. (1999). The research methods knowledge base. Cincinnati, OH: Atomic Dog Publishing.Google Scholar
- 9.Zamir, O., & 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