Structural Correspondence Learning for Dependency Parsing

Nobuyuki Shimizu, Hiroshi Nakagawa


Anthology ID:
D07-1129
Volume:
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)
Month:
June
Year:
2007
Address:
Prague, Czech Republic
Editor:
Jason Eisner
Venues:
EMNLP | CoNLL
SIGs:
SIGDAT | SIGNLL
Publisher:
Association for Computational Linguistics
Note:
Pages:
1166–1169
Language:
URL:
https://aclanthology.org/D07-1129
DOI:
Bibkey:
Cite (ACL):
Nobuyuki Shimizu and Hiroshi Nakagawa. 2007. Structural Correspondence Learning for Dependency Parsing. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 1166–1169, Prague, Czech Republic. Association for Computational Linguistics.
Cite (Informal):
Structural Correspondence Learning for Dependency Parsing (Shimizu & Nakagawa, EMNLP-CoNLL 2007)
Copy Citation:
PDF:
https://preview.aclanthology.org/landing_page/D07-1129.pdf