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DAWAK
2008
Springer

The Evaluation of Sentence Similarity Measures

10 years 13 days ago
The Evaluation of Sentence Similarity Measures
The ability to accurately judge the similarity between natural language sentences is critical to the performance of several applications such as text mining, question answering, and text summarization. Given two sentences, an effective similarity measure should be able to determine whether the sentences are semantically equivalent or not, taking into account the variability of natural language expression. That is, the correct similarity judgment should be made even if the sentences do not share similar surface form. In this work, we evaluate fourteen existing text similarity measures which have been used to calculate similarity score between sentences in many text applications. The evaluation is conducted on three different data sets, TREC9 question variants, Microsoft Research paraphrase corpus, and the third recognizing textual entailment data set.
Palakorn Achananuparp, Xiaohua Hu, Xiajiong Shen
Added 19 Oct 2010
Updated 19 Oct 2010
Type Conference
Year 2008
Where DAWAK
Authors Palakorn Achananuparp, Xiaohua Hu, Xiajiong Shen
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