Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach

William Yang Wang, William W. Cohen


Anthology ID:
P15-1035
Volume:
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Month:
July
Year:
2015
Address:
Beijing, China
Editors:
Chengqing Zong, Michael Strube
Venues:
ACL | IJCNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
355–364
Language:
URL:
https://aclanthology.org/P15-1035
DOI:
10.3115/v1/P15-1035
Bibkey:
Cite (ACL):
William Yang Wang and William W. Cohen. 2015. Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 355–364, Beijing, China. Association for Computational Linguistics.
Cite (Informal):
Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach (Wang & Cohen, ACL-IJCNLP 2015)
Copy Citation:
PDF:
https://preview.aclanthology.org/add_acl24_videos/P15-1035.pdf