Integrating Probabilistic Extraction Models and Data Mining to Discover Relations and Patterns in Text

Aron Culotta, Andrew McCallum, Jonathan Betz


Anthology ID:
N06-1038
Volume:
Proceedings of the Human Language Technology Conference of the NAACL, Main Conference
Month:
June
Year:
2006
Address:
New York City, USA
Editors:
Robert C. Moore, Jeff Bilmes, Jennifer Chu-Carroll, Mark Sanderson
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
296–303
Language:
URL:
https://aclanthology.org/N06-1038
DOI:
Bibkey:
Cite (ACL):
Aron Culotta, Andrew McCallum, and Jonathan Betz. 2006. Integrating Probabilistic Extraction Models and Data Mining to Discover Relations and Patterns in Text. In Proceedings of the Human Language Technology Conference of the NAACL, Main Conference, pages 296–303, New York City, USA. Association for Computational Linguistics.
Cite (Informal):
Integrating Probabilistic Extraction Models and Data Mining to Discover Relations and Patterns in Text (Culotta et al., NAACL 2006)
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PDF:
https://aclanthology.org/N06-1038.pdf