Papers by Takeshi Masuyama
A Case Study on Neural Headline Generation for Editing Support (N19-2)
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Kazuma Murao, Ken Kobayashi, Hayato Kobayashi, Taichi Yatsuka, Takeshi Masuyama, Tatsuru Higurashi, Yoshimune Tabuchi
| Challenge: | a news-aggregator is a website or mobile application that aggregates web content . dozens of professional editors manually create their headlines, which are much shorter than the original headlines. |
| Approach: | They propose a neural headline generation model that automatically generates short headlines from news articles. |
| Outcome: | The proposed model is deployed to an editing support tool and compares editors' behavior before and after the release. |
Extractive Headline Generation Based on Learning to Rank for Community Question Answering (C18-1)
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| Challenge: | Community question answering (CQA) forums do not always have appropriate headlines because of user-generated content. |
| Approach: | They propose an extractive headline generation method that extracts the most informative substring from each question as its headline. |
| Outcome: | The proposed method outperforms baselines including a prefix-based method . it uses the prefix of a question as its headline to create the most informative substring . |