Learning with Lookahead: Can History-Based Models Rival Globally Optimized Models?

Yoshimasa Tsuruoka, Yusuke Miyao, Jun’ichi Kazama


Anthology ID:
W11-0328
Volume:
Proceedings of the Fifteenth Conference on Computational Natural Language Learning
Month:
June
Year:
2011
Address:
Portland, Oregon, USA
Venue:
CoNLL
SIG:
SIGNLL
Publisher:
Association for Computational Linguistics
Note:
Pages:
238–246
Language:
URL:
https://aclanthology.org/W11-0328
DOI:
Bibkey:
Cite (ACL):
Yoshimasa Tsuruoka, Yusuke Miyao, and Jun’ichi Kazama. 2011. Learning with Lookahead: Can History-Based Models Rival Globally Optimized Models?. In Proceedings of the Fifteenth Conference on Computational Natural Language Learning, pages 238–246, Portland, Oregon, USA. Association for Computational Linguistics.
Cite (Informal):
Learning with Lookahead: Can History-Based Models Rival Globally Optimized Models? (Tsuruoka et al., CoNLL 2011)
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PDF:
https://aclanthology.org/W11-0328.pdf