Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, China

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Abstract—Sentence similarity assessment is key to most NLP applications. This paper presents a means of calculating the similarity between very short texts and sentences without using an external corpus of literature. This method uses WordNet, common-sense knowledge base and human intuition. Results were verified through experiments. These experiments were performed on two sets of selected sentence pairs. We show that this technique compares favorably to other word-based similarity measures and is flexible enough to allow the user to make comparisons without any additional dictionary or corpus information. We believe that this method can be applied in a variety of text knowledge representation and discovery applications.

Index Terms—Sentence similarity, WordNet, word similarity, natural language processing.

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Cite: Hongzhe Liu, Pengfei Wang, "Assessing Sentence Similarity Using WordNet based Word Similarity," Journal of Software vol. 8, no. 6, pp. 1451-1458, 2013.