Abstract
Sentence similarity plays an important role in text-related research and applications. It is closely related to word similarity and document similarity. The statistical similarity measures between sentences, based on symbolic characteristics and structural information, could measure the similarity between sentences without any prior knowledge but only on the statistical information of sentences. This paper presents several approaches to calculating statistical similarity between sentences on a test corpus of 40 sentences. These measures can be used in short text related applications such as corpus construction and title/abstract based document recommendation. The evaluation results show the differences of these measures.
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