Effectiveness and Efficiency of Open Relation Extraction

Filipe Mesquita, Jordan Schmidek, Denilson Barbosa


Anthology ID:
D13-1043
Volume:
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing
Month:
October
Year:
2013
Address:
Seattle, Washington, USA
Editors:
David Yarowsky, Timothy Baldwin, Anna Korhonen, Karen Livescu, Steven Bethard
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
447–457
Language:
URL:
https://aclanthology.org/D13-1043
DOI:
Bibkey:
Cite (ACL):
Filipe Mesquita, Jordan Schmidek, and Denilson Barbosa. 2013. Effectiveness and Efficiency of Open Relation Extraction. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pages 447–457, Seattle, Washington, USA. Association for Computational Linguistics.
Cite (Informal):
Effectiveness and Efficiency of Open Relation Extraction (Mesquita et al., EMNLP 2013)
Copy Citation:
PDF:
https://aclanthology.org/D13-1043.pdf
Data
New York Times Annotated Corpus