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Discourse parsing of sociology dissertation abstracts using decision tree induction

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Discourse parsing of sociology dissertation abstracts using decision tree induction

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dc.contributor.author Ou, Shiyan
dc.contributor.author Khoo, Christopher Soo Guan
dc.contributor.author Heng, Hui Ying
dc.contributor.author Goh, Dion Hoe-Lian
dc.date.accessioned 2011-10-18T01:23:50Z
dc.date.available 2011-10-18T01:23:50Z
dc.date.copyright 2003
dc.date.issued 2011-10-18
dc.identifier.citation Ou, S., Khoo, C. S. G., Heng, H. Y., & Goh, D. H. L. (2003). Discourse Parsing of Sociology Dissertation Abstracts Using Decision Tree Induction. In Proceedings of the 13th Annual ASIST SIG CR Workshop, Long Beach, California, USA.
dc.identifier.uri http://hdl.handle.net/10220/7296
dc.description.abstract In this study, we investigated the use of decision tree induction to parse the macro-level discourse structure of sociology dissertation abstracts. We treated discourse parsing as a sentence categorization task. The attributes used in constructing the decision tree models were stemmed words that occurred in at least 35 sentences (out of 3694 sentences in 300 sample abstracts). Sentence location information was also used. The model obtained an accuracy rate of 71.3% when applied to a test sample of 100 abstracts. Another model that made use of information regarding the presence of 31 indicator words in neighboring sentences was also developed. Although this model did not obtain better results, a comparison of the two models suggests that an improvement in the classification of sentences in problem statement and research method section is possible by combining the models.
dc.format.extent 9 p.
dc.language.iso en
dc.rights © 2003 Proceedings of the 13th Annual ASIST SIG CR Workshop.
dc.subject DRNTU::Library and information science
dc.title Discourse parsing of sociology dissertation abstracts using decision tree induction
dc.type Conference Paper
dc.contributor.conference Annual Classification Research Workshop (13th : 2003)
dc.contributor.school Wee Kim Wee School of Communication and Information
dc.description.version Accepted version

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