A Unified Model of Compositional and Distributional Semantics: Theory and Applications
Lead Research Organisation:
University of Oxford
Department Name: Computer Science
Abstract
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Organisations
Publications
Selby J
(2017)
Leaks: Quantum, Classical, Intermediate and More
in Entropy
Sadrzadeh M
(2013)
The Frobenius anatomy of word meanings I: subject and object relative pronouns
in Journal of Logic and Computation
Hinze R
(2016)
Equational reasoning with lollipops, forks, cups, caps, snakes, and speedometers
in Journal of Logical and Algebraic Methods in Programming
Hinze R
(2016)
A List of Successes That Can Change the World
Hermann K.M.
(2013)
"not not bad" is not "bad": A distributional account of negation
in Proceedings of the Annual Meeting of the Association for Computational Linguistics
Grefenstette E.
(2013)
Multi-step regression learning for compositional distributional semantics
in Proceedings of the 10th International Conference on Computational Semantics, IWCS 2013 - Long Papers
Grefenstette E.
(2013)
Towards a Formal Distributional Semantics: Simulating Logical Calculi with Tensors
in SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual SimilaritySEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity
Grefenstette E
(2014)
A Deep Architecture for Semantic Parsing
Coecke B
(2017)
Logic, Language, Information, and Computation
Coecke B
(2014)
Terminality implies non-signalling
in Electronic Proceedings in Theoretical Computer Science
Description | A unified compositional distributional model of meaning, exactly as intended. We also have extended this to models of cognition. We have now started to implement these models on quantum hardware. |
Exploitation Route | We are continuing to work on them in the context of new grants, and industry engagement. |
Sectors | Aerospace, Defence and Marine,Digital/Communication/Information Technologies (including Software) |
Description | Cambridge Quantum Computing is now supporting quantum implementations of our model. |
First Year Of Impact | 2017 |
Sector | Digital/Communication/Information Technologies (including Software) |
Impact Types | Economic |