2:00 PM - 2:20 PM
[2E2-03] Headline Generation of Yahoo! Chiebukuro Based on Learning to Rank
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.
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.