Integrating Multiple Knowledge Sources for Robust Semantic Parsing

Details Integrating Multiple Knowledge Sources for Robust Semantic Parsing Integrating Multiple Knowledge Sources for Robust Semantic Parsing

2001-09-17

arxiv.org/abs/cs/0109023v1

Proceedings of Euroconference on Recent Advances in Natural Language Processing (RANLP'01), p.8-14. Tzigov Chark, Bulgaria. Se

Computer Science

Computation and Language

Scientific paper

This work explores a new robust approach for Semantic Parsing of unrestricted texts. Our approach considers Semantic Parsing as a Consistent Labelling Problem (CLP), allowing the integration of several knowledge types (syntactic and semantic) obtained from different sources (linguistic and statistic). The current implementation obtains 95% accuracy in model identification and 72% in case-role filling.

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