標題: Zero anaphora resolution by case-based reasoning and pattern conceptualization
作者: Wu, Dian-Song
Liang, Tyne
資訊工程學系
Department of Computer Science
關鍵字: Zero anaphora resolution;Case-based reasoning;Conceptual patterns;Knowledge resources
公開日期: 1-May-2009
摘要: Effective anaphora resolution is helpful to many applications of natural language processing such as machine translation, summarization and question answering. In this paper, a novel resolution approach is proposed to tackle zero anaphora, which is the most frequent type of anaphora shown in Chinese texts. Unlike most of the previous approaches relying on hand-coded rules, our resolution is mainly constructed by employing case-based reasoning and pattern conceptualization. Moreover, the resolution is incorporated with the mechanisms to identify cataphora and non-antecedent instances so as to enhance the resolution performance. Compared to a general rule-based approach, the proposed approach indeed improves the resolution performance by achieves 78% recall and 79% precision on solving 1051 zero anaphora instances in 382 narrative texts. (C) 2008 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.eswa.2008.09.065
http://hdl.handle.net/11536/7280
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2008.09.065
期刊: EXPERT SYSTEMS WITH APPLICATIONS
Volume: 36
Issue: 4
起始頁: 7544
結束頁: 7551
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