Construction of a Japanese Word Similarity Dataset
Computation and Language
2018-02-23 v2
Abstract
An evaluation of distributed word representation is generally conducted using a word similarity task and/or a word analogy task. There are many datasets readily available for these tasks in English. However, evaluating distributed representation in languages that do not have such resources (e.g., Japanese) is difficult. Therefore, as a first step toward evaluating distributed representations in Japanese, we constructed a Japanese word similarity dataset. To the best of our knowledge, our dataset is the first resource that can be used to evaluate distributed representations in Japanese. Moreover, our dataset contains various parts of speech and includes rare words in addition to common words.
Keywords
Cite
@article{arxiv.1703.05916,
title = {Construction of a Japanese Word Similarity Dataset},
author = {Yuya Sakaizawa and Mamoru Komachi},
journal= {arXiv preprint arXiv:1703.05916},
year = {2018}
}
Comments
LREC 2018; 4 pages