Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods

Arvind Neelakantan, Ming-Wei Chang


Anthology ID:
N15-1054
Volume:
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Month:
May–June
Year:
2015
Address:
Denver, Colorado
Editors:
Rada Mihalcea, Joyce Chai, Anoop Sarkar
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
515–525
Language:
URL:
https://aclanthology.org/N15-1054
DOI:
10.3115/v1/N15-1054
Bibkey:
Cite (ACL):
Arvind Neelakantan and Ming-Wei Chang. 2015. Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods. In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 515–525, Denver, Colorado. Association for Computational Linguistics.
Cite (Informal):
Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods (Neelakantan & Chang, NAACL 2015)
Copy Citation:
PDF:
https://preview.aclanthology.org/add_acl24_videos/N15-1054.pdf