Presentation information

Oral presentation

General Session » [General Session] 9. NLP / IR

[2E2] [General Session] 9. NLP / IR

Wed. Jun 6, 2018 1:20 PM - 2:40 PM Room E (4F Queen)

座長:田中 貴秋(NTT コミュニケーション科学基礎研究所)

2:00 PM - 2:20 PM

[2E2-03] Headline Generation of Yahoo! Chiebukuro Based on Learning to Rank

〇Tatsuru Higurashi1, Hayato Kobayashi1,2, Kazuma Murao1, Masuyama Takeshi1 (1. Yahoo Japan Corporation, 2. RIKEN AIP)

Keywords:Machine Learning, Natural Language Processing, Crowdsourcing

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 the conventional method.