Neighborhood Mixture Model for Knowledge Base Completion

Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, Mark Johnson


Anthology ID:
K16-1005
Volume:
Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning
Month:
August
Year:
2016
Address:
Berlin, Germany
Venue:
CoNLL
SIG:
SIGNLL
Publisher:
Association for Computational Linguistics
Note:
Pages:
40–50
Language:
URL:
https://aclanthology.org/K16-1005
DOI:
10.18653/v1/K16-1005
Bibkey:
Cite (ACL):
Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, and Mark Johnson. 2016. Neighborhood Mixture Model for Knowledge Base Completion. In Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning, pages 40–50, Berlin, Germany. Association for Computational Linguistics.
Cite (Informal):
Neighborhood Mixture Model for Knowledge Base Completion (Nguyen et al., CoNLL 2016)
Copy Citation:
PDF:
https://aclanthology.org/K16-1005.pdf
Data
NELL