Sentence Similarity based on Dynamic Time Warping

Authors:
Xiaoying Liu;Yiming Zhou;Ruoshi Zheng
Affiliations:
Beihang University, China;Beihang University, China;CIeNET Technologies Co., Ltd., China
Venue:
ICSC '07 Proceedings of the International Conference on Semantic Computing
Year:
2007

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Abstract

This paper investigates the problem of the similarity measure between very short text of sentence length, which can be used in a variety of applications that involve text knowledge representation and discovery. A novel method to calculate sentence similarity is proposed, which takes into account the semantic information, word order and the contribution of different parts of speech in a sentence. The experiment result on the set of selected sentence pairs shows that our method greatly outperforms other previously reported methods.