A local tree alignment-based soft pattern matching approach for information extraction

Authors:
Seokhwan Kim;Minwoo Jeong;Gary Geunbae Lee
Affiliations:
Pohang University of Science and Technology, Nam-gu, Pohang, Korea;Pohang University of Science and Technology, Nam-gu, Pohang, Korea;Pohang University of Science and Technology, Nam-gu, Pohang, Korea
Venue:
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
Year:
2009

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Abstract

This paper presents a new soft pattern matching method which aims to improve the recall with minimized precision loss in information extraction tasks. Our approach is based on a local tree alignment algorithm, and an effective strategy for controlling flexibility of the pattern matching will be presented. The experimental results show that the method can significantly improve the information extraction performance.