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Shallow Case Role Annotation Using Two-Stage Feature-Enhanced String Matching

  • Samuel W. K. Chan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3878)

Abstract

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.

Keywords

Edit Distance Edit Operation Semantic Classis Countable Noun Input Sentence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Samuel W. K. Chan
    • 1
  1. 1.Dept. of Decision SciencesThe Chinese University of Hong KongHong Kong SARChina

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