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:
Bibkey:
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)
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PDF:
https://aclanthology.org/Y18-1058.pdf
Data
FrameNet