Publications

カンファレンス (国内) ランク学習によるYahoo!知恵袋の見出し生成

日暮 立小林 隼人、村尾 一真、増山 毅司

2018年度 人工知能学会全国大会(第32回) (JSAI2018)

2018.6.6

In this paper, we propose a training method for headline generation based on learning-to-rank, so that the appropriate summarization of a question posted by the user is distributed in Yahoo! Chiebukuro. For headline generation we used data provided from National Institute of Informatics and generated supervised-data through crowdsourcing. As a result, effective results were obtained compared with conventional methods.

Paper : ランク学習によるYahoo!知恵袋の見出し生成 (外部サイト)