Bibliographic Details
| Title: |
Chinese pronominal anaphora resolution using lexical knowledge and entropy-based weight. |
| Authors: |
Wu, Dian-Song1, Liang, Tyne1 |
| Source: |
Journal of the American Society for Information Science & Technology. Nov2008, Vol. 59 Issue 13, p2138-2145. 8p. 2 Diagrams, 9 Charts, 1 Graph. |
| Subjects: |
Anaphora (Linguistics), Chinese writing, Pronominals (Grammar), Comparative grammar, Linguistics, Artificial intelligence |
| Abstract: |
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%. [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |
