Shallow case role annotation using two-stage feature-enhanced string matching
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摘要A two-stage annotation method for identification of case roles in Chinese sentences is proposed. The approach makes use of a feature-enhanced string matching technique which takes full advantage of a huge number of sentence patterns in a Treebank. The first stage of the approach is a coarse-grained syntactic parsing which is complementary to a semantic dissimilarities analysis in its latter stage. The approach goes beyond shallow parsing to a deeper level of case role identification, while preserving robustness, without being bogged down into a complete linguistic analysis. The ideas described have been implemented and an evaluation of 5,000 Chinese sentences is examined in order to justify its significances.
著者Chan SWK
會議名稱7th International Conference on Intelligent Text Processing and Computational Linguistics
會議開始日19.02.2006
會議完結日25.02.2006
會議地點Mexico City
期刊名稱Lecture Notes in Artificial Intelligence
詳細描述ed. by A. Gelbukh.
出版年份2006
月份1
日期1
卷號3878
出版社SPRINGER-VERLAG BERLIN
頁次263 - 274
國際標準書號3-540-32205-1
國際標準期刊號0302-9743
語言英式英語
Web of Science 學科類別Computer Science; Computer Science, Artificial Intelligence; Computer Science, Theory & Methods

上次更新時間 2020-09-07 於 03:29