Publications
CONFERENCE (DOMESTIC) 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)
June 06, 2018
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
(external link)