標題: | Chinese Pronominal Anaphora Resolution Using Lexical Knowledge and Entropy-Based Weight |
作者: | Wu, Dian-Song Liang, Tyne 資訊工程學系 Department of Computer Science |
公開日期: | 1-十一月-2008 |
摘要: | Pronominal anaphors are commonly observed in written texts. In this article, effective Chinese pronominal anaphora resolution is addressed by using lexical knowledge acquisition and salience measurement. The lexical knowledge acquisition is aimed to extract more semantic features, such as gender, number, and collocate compatibility by employing multiple resources. The presented salience measurement is based on entropy-based weighting on selecting antecedent candidates. The resolution is justified with a real corpus and compared with a rule-based model. Experimental results by five-fold cross-validation show that our approach yields 82.5% success rate on 1343 anaphoric instances. In comparison with a general rule-based approach, the performance is improved by 7%. |
URI: | http://dx.doi.org/10.1002/asi.20922 http://hdl.handle.net/11536/15552 |
ISSN: | 1532-2882 |
DOI: | 10.1002/asi.20922 |
期刊: | JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY |
Volume: | 59 |
Issue: | 13 |
起始頁: | 2138 |
結束頁: | 2145 |
顯示於類別: | 期刊論文 |