WSL: Sentence Similarity Using Semantic Distance Between Words

著者: Naoko Miura, Tomohiro Takagi - Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015) 2015 被引用: 14

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.