A Learning Approach to Shallow Parsing

Details A Learning Approach to Shallow Parsing A Learning Approach to Shallow Parsing

2000-08-22

arxiv.org/abs/cs/0008022v1

Proceedings of EMNLP-VLC'99, pages 168-178

Computer Science

Learning

LaTex 2e, 11 pages, 2 eps figures, 1 bbl file, uses colacl.sty

Scientific paper

A SNoW based learning approach to shallow parsing tasks is presented and studied experimentally. The approach learns to identify syntactic patterns by combining simple predictors to produce a coherent inference. Two instantiations of this approach are studied and experimental results for Noun-Phrases (NP) and Subject-Verb (SV) phrases that compare favorably with the best published results are presented. In doing that, we compare two ways of modeling the problem of learning to recognize patterns and suggest that shallow parsing patterns are better learned using open/close predictors than using inside/outside predictors.

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