A Large-Scale Exploration of Effective Global Features for a Joint Entity Detection and Tracking Model

Hal Daumé III, Daniel Marcu


Anthology ID:
H05-1013
Volume:
Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing
Month:
October
Year:
2005
Address:
Vancouver, British Columbia, Canada
Editors:
Raymond Mooney, Chris Brew, Lee-Feng Chien, Katrin Kirchhoff
Venues:
HLT | EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
97–104
Language:
URL:
https://aclanthology.org/H05-1013
DOI:
Bibkey:
Cite (ACL):
Hal Daumé III and Daniel Marcu. 2005. A Large-Scale Exploration of Effective Global Features for a Joint Entity Detection and Tracking Model. In Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, pages 97–104, Vancouver, British Columbia, Canada. Association for Computational Linguistics.
Cite (Informal):
A Large-Scale Exploration of Effective Global Features for a Joint Entity Detection and Tracking Model (Daumé III & Marcu, HLT-EMNLP 2005)
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PDF:
https://aclanthology.org/H05-1013.pdf