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This paper describes our IR (Information Retrieval) based method for SemEval 2016 task 1, Semantic Textual Similarity (STS). The main feature of our approach is to extend a conventional IR-based scheme by incorporating word alignment information. This enables us to develop a more fine-grained similarity measurement. In the evaluation results, we have seen that the proposed method improves upon a conventional IR-based method on average. In addition, one of our submissions achieved the best performance for the “postediting” data set.

RICOH at SemEval-2016 Task 1: IR-based Semantic Textual Similarity Estimation