A case-based reasoning approach to zero anaphora resolution in Chinese texts

dc.citation.epage	531	en_US
dc.citation.spage	520	en_US
dc.citation.volume	4285	en_US
dc.contributor.author	Wu, Dian-Song	en_US
dc.contributor.author	Liang, Tyne	en_US
dc.contributor.department	資訊工程學系	zh_TW
dc.contributor.department	Department of Computer Science	en_US
dc.date.accessioned	2014-12-08T15:24:37Z
dc.date.available	2014-12-08T15:24:37Z
dc.date.issued	2006	en_US
dc.description.abstract	Anaphora is a common phenomenon in discourses as well as an important research issue in the applications of natural language processing. In this paper, both intra-sentential and inter-sentential zero anaphora in Chinese texts are addressed. Unlike general rule-based approaches, our resolution method is embedded with a case-based reasoning mechanism which has the benefit of knowledge acquisition if the case size varies. In addition, the presented approach employs informative features with the help of two outer knowledge resources. Compared to rule-based approaches, our resolution to 1047 zero anaphora instances achieved 82% recall and 77% precision.	en_US
dc.identifier.isbn	978-3-540-49667-0	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.journal	Computer Processing of Oriental Languages, Proceedings: BEYOND THE ORIENT: THE RESEARCH CHALLENGES AHEAD	en_US
dc.identifier.uri	https://ir.lib.nycu.edu.tw/handle/11536/17093
dc.identifier.wosnumber	WOS:000244584200055
dc.language.iso	en_US	en_US
dc.title	A case-based reasoning approach to zero anaphora resolution in Chinese texts	en_US
dc.type	Proceedings Paper	en_US

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