RICOH at SemEval-2016 task 1: IR-based semantic textual similarity estimation

4Citations
Citations of this article
77Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

Itoh, H. (2016). RICOH at SemEval-2016 task 1: IR-based semantic textual similarity estimation. In SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings (pp. 691–695). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s16-1106

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free