Presentation 2004/11/30
Using Syntactic Structures and Cohesive Devices in Recognizing Discourse Structure of Text(Text Mining I)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining)
Huong LeThanh, Geetha Abeysinghe,
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Abstract(in English) This paper presents a system for automatically generating the discourse structure of text. The system is divided into two levels: sentence-level and text-level. At the sentence-level, the discourse analyzer uses syntactic structures and cue phrases to derive discourse structures of sentences. This approach prevents combinatorial explosions while still get accurate analyses. At the text-level, constraints about textual adjacency and textual organization are integrated in a beam search to reduce the search space of the discourse analyzer and generate the best discourse structure. Two new factors using to recognize discourse relations are proposed: noun-phrase cues and verb-phrase cues. Our experiments show that this system achieves a good performance compared to existing discourse analyzing systems.
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Paper # AI2004-54
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Committee AI
Conference Date 2004/11/30(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
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Title (in English) Using Syntactic Structures and Cohesive Devices in Recognizing Discourse Structure of Text(Text Mining I)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining)
Sub Title (in English)
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1st Author's Name Huong LeThanh
1st Author's Affiliation Faculty of Information Technology, Hanoi University of Technology()
2nd Author's Name Geetha Abeysinghe
2nd Author's Affiliation School of Computing Science, Middlesex University
Date 2004/11/30
Paper # AI2004-54
Volume (vol) vol.104
Number (no) 488
Page pp.pp.-
#Pages 6
Date of Issue