論 文Papers

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), 2018/6

Category:

自然言語処理 (Natural Language Processing)

Abstract:
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.
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