Evaluation of Sentence Similarity Computation for Building a Japanese Paraphrase Corpus for Children

Abstract

In recent years, elementary schools are practicing Newspaper in Education (NIE) which is education using newspaper as teaching materials. However, it is difficult for elementary school students to understand the contents of newspaper articles because the articles are written for the general readers. If the text of the articles can be automatically paraphrased to simple text, we can say that this problem can be improved. Currently, there are not many Japanese paraphrase corpora or data sets for children. In this study, we focus on news articles on NHK NEWS WEB EASY (NNWE) which is a website for children. This site has simple and easy to understand news articles by paraphrasing selected general news articles manually. The purpose of this study is to construct a Japanese paraphrase corpus by mapping each sentence of the related news articles on NNWE and NHK News Web (NNW) as easy and difficult sentences, respectively. The purpose of this study is to construct a Japanese paraphrase corpus by mapping each sentence of the related news articles on NNWE and the NNW as easy and difficult sentences, respectively. As the result of experiments, we confirmed that the effectiveness of the method for computing the similarity of sentences based on alignment between word embeddings on the Japanese data set, and the accuracy of the method was improved by specifying the part of speech used for the computation.