Training a Korean SRL System with Rich Morphological Features

Young-Bum Kim, Heemoon Chae, Benjamin Snyder, Yu-Seop Kim


Anthology ID:
P14-2104
Volume:
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Month:
June
Year:
2014
Address:
Baltimore, Maryland
Editors:
Kristina Toutanova, Hua Wu
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
637–642
Language:
URL:
https://aclanthology.org/P14-2104
DOI:
10.3115/v1/P14-2104
Bibkey:
Cite (ACL):
Young-Bum Kim, Heemoon Chae, Benjamin Snyder, and Yu-Seop Kim. 2014. Training a Korean SRL System with Rich Morphological Features. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 637–642, Baltimore, Maryland. Association for Computational Linguistics.
Cite (Informal):
Training a Korean SRL System with Rich Morphological Features (Kim et al., ACL 2014)
Copy Citation:
PDF:
https://aclanthology.org/P14-2104.pdf