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A typical social networking service contains huge amounts of data, and analyzing this data at the level of the sentence is important. In this paper, we describe our system for a SemEval2015 semantic textual similarity task (task2). We present our approach, which uses edit distance to consider word order, and introduce word appearance in context. We report the results from SemEval2015.

WSL: Sentence Similarity Using Semantic Distance Between Words