Sentence Similarity based on Dynamic Time Warping

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.