How Well Do Distributional Models Capture Different Types of Semantic Knowledge?

Dana Rubinstein, Effi Levi, Roy Schwartz, Ari Rappoport


Anthology ID:
P15-2119
Volume:
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
Month:
July
Year:
2015
Address:
Beijing, China
Editors:
Chengqing Zong, Michael Strube
Venues:
ACL | IJCNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
726–730
Language:
URL:
https://aclanthology.org/P15-2119
DOI:
10.3115/v1/P15-2119
Bibkey:
Cite (ACL):
Dana Rubinstein, Effi Levi, Roy Schwartz, and Ari Rappoport. 2015. How Well Do Distributional Models Capture Different Types of Semantic Knowledge?. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 726–730, Beijing, China. Association for Computational Linguistics.
Cite (Informal):
How Well Do Distributional Models Capture Different Types of Semantic Knowledge? (Rubinstein et al., ACL-IJCNLP 2015)
Copy Citation:
PDF:
https://aclanthology.org/P15-2119.pdf