Probabilistic sentence reduction using support vector machines

Authors:
Minh Le Nguyen;Akira Shimazu;Susumu Horiguchi;Bao Tu Ho;Masaru Fukushi
Affiliations:
Japan Advanced Institute of Science and Technology, Ishikawa, Japan;Japan Advanced Institute of Science and Technology, Ishikawa, Japan;Japan Advanced Institute of Science and Technology, Ishikawa, Japan;Japan Advanced Institute of Science and Technology, Ishikawa, Japan;Japan Advanced Institute of Science and Technology, Ishikawa, Japan
Venue:
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Year:
2004

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Abstract

This paper investigates a novel application of support vector machines (SVMs) for sentence reduction. We also propose a new probabilistic sentence reduction method based on support vector machine learning. Experimental results show that the proposed methods outperform earlier methods in term of sentence reduction performance.