Extracting Important Tweets for News Writers using Recurrent Neural Network with Attention Mechanism and Multi-task Learning
Taro Miyazaki, Shin Toriumi, Yuka Takei, Ichiro Yamada, Jun Goto
- Anthology ID:
- Y17-1048
- Volume:
- Proceedings of the 31st Pacific Asia Conference on Language, Information and Computation
- Month:
- November
- Year:
- 2017
- Address:
- Editor:
- Rachel Edita Roxas
- Venue:
- PACLIC
- SIG:
- Publisher:
- The National University (Phillippines)
- Note:
- Pages:
- 363–369
- Language:
- URL:
- https://aclanthology.org/Y17-1048
- DOI:
- Cite (ACL):
- Taro Miyazaki, Shin Toriumi, Yuka Takei, Ichiro Yamada, and Jun Goto. 2017. Extracting Important Tweets for News Writers using Recurrent Neural Network with Attention Mechanism and Multi-task Learning. In Proceedings of the 31st Pacific Asia Conference on Language, Information and Computation, pages 363–369. The National University (Phillippines).
- Cite (Informal):
- Extracting Important Tweets for News Writers using Recurrent Neural Network with Attention Mechanism and Multi-task Learning (Miyazaki et al., PACLIC 2017)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/Y17-1048.pdf