Improving Japanese semantic-role-labeling performance with transfer learning as case for limited resources of tagged corpora on aggregated language
Takuya Okamura, Koichi Takeuchi, Yasuhiro Ishihara, Masahiro Taguchi, Yoshihiko Inada, Masaya Iizuka, Tatsuhiko Abo, Hitoshi Ueda
- Anthology ID:
- Y18-1058
- Volume:
- Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation
- Month:
- 1–3 December
- Year:
- 2018
- Address:
- Hong Kong
- Editors:
- Stephen Politzer-Ahles, Yu-Yin Hsu, Chu-Ren Huang, Yao Yao
- Venue:
- PACLIC
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- Language:
- URL:
- https://aclanthology.org/Y18-1058
- DOI:
- Cite (ACL):
- Takuya Okamura, Koichi Takeuchi, Yasuhiro Ishihara, Masahiro Taguchi, Yoshihiko Inada, Masaya Iizuka, Tatsuhiko Abo, and Hitoshi Ueda. 2018. Improving Japanese semantic-role-labeling performance with transfer learning as case for limited resources of tagged corpora on aggregated language. In Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation, Hong Kong. Association for Computational Linguistics.
- Cite (Informal):
- Improving Japanese semantic-role-labeling performance with transfer learning as case for limited resources of tagged corpora on aggregated language (Okamura et al., PACLIC 2018)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/Y18-1058.pdf
- Data
- FrameNet