WSL: Sentence Similarity Using Semantic Distance Between Words
نویسندگان
چکیده
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.
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