Tensor Product Decomposition Networks: Uncovering Representations of Structure Learned by Neural Networks

R. Thomas McCoy, Tal Linzen, Ewan Dunbar, Paul Smolensky


Anthology ID:
2020.scil-1.34
Volume:
Proceedings of the Society for Computation in Linguistics 2020
Month:
January
Year:
2020
Address:
New York, New York
Editors:
Allyson Ettinger, Gaja Jarosz, Joe Pater
Venue:
SCiL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
277–278
Language:
URL:
https://aclanthology.org/2020.scil-1.34
DOI:
Bibkey:
Cite (ACL):
R. Thomas McCoy, Tal Linzen, Ewan Dunbar, and Paul Smolensky. 2020. Tensor Product Decomposition Networks: Uncovering Representations of Structure Learned by Neural Networks. In Proceedings of the Society for Computation in Linguistics 2020, pages 277–278, New York, New York. Association for Computational Linguistics.
Cite (Informal):
Tensor Product Decomposition Networks: Uncovering Representations of Structure Learned by Neural Networks (McCoy et al., SCiL 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.scil-1.34.pdf