Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues

Matt Gardner, Partha Pratim Talukdar, Bryan Kisiel, Tom Mitchell


Anthology ID:
D13-1080
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:
833–838
Language:
URL:
https://aclanthology.org/D13-1080
DOI:
Bibkey:
Cite (ACL):
Matt Gardner, Partha Pratim Talukdar, Bryan Kisiel, and Tom Mitchell. 2013. Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pages 833–838, Seattle, Washington, USA. Association for Computational Linguistics.
Cite (Informal):
Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues (Gardner et al., EMNLP 2013)
Copy Citation:
PDF:
https://aclanthology.org/D13-1080.pdf
Data
NELL