Relieving the Computational Bottleneck: Joint Inference for Event Extraction with High-Dimensional Features

Deepak Venugopal, Chen Chen, Vibhav Gogate, Vincent Ng


Anthology ID:
D14-1090
Volume:
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Month:
October
Year:
2014
Address:
Doha, Qatar
Editors:
Alessandro Moschitti, Bo Pang, Walter Daelemans
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
831–843
Language:
URL:
https://aclanthology.org/D14-1090
DOI:
10.3115/v1/D14-1090
Bibkey:
Cite (ACL):
Deepak Venugopal, Chen Chen, Vibhav Gogate, and Vincent Ng. 2014. Relieving the Computational Bottleneck: Joint Inference for Event Extraction with High-Dimensional Features. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 831–843, Doha, Qatar. Association for Computational Linguistics.
Cite (Informal):
Relieving the Computational Bottleneck: Joint Inference for Event Extraction with High-Dimensional Features (Venugopal et al., EMNLP 2014)
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PDF:
https://aclanthology.org/D14-1090.pdf