Empirical Study on the Performance Stability of Named Entity Recognition Model across Domains

Hong Lei Guo, Li Zhang, Zhong Su


Anthology ID:
W06-1660
Volume:
Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Month:
July
Year:
2006
Address:
Sydney, Australia
Editors:
Dan Jurafsky, Eric Gaussier
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
509–516
Language:
URL:
https://aclanthology.org/W06-1660
DOI:
Bibkey:
Cite (ACL):
Hong Lei Guo, Li Zhang, and Zhong Su. 2006. Empirical Study on the Performance Stability of Named Entity Recognition Model across Domains. In Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, pages 509–516, Sydney, Australia. Association for Computational Linguistics.
Cite (Informal):
Empirical Study on the Performance Stability of Named Entity Recognition Model across Domains (Guo et al., EMNLP 2006)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-1/W06-1660.pdf