کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
387192 | 660897 | 2009 | 8 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Zero anaphora resolution by case-based reasoning and pattern conceptualization Zero anaphora resolution by case-based reasoning and pattern conceptualization](/preview/png/387192.png)
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.
Journal: Expert Systems with Applications - Volume 36, Issue 4, May 2009, Pages 7544–7551