Jean Maillard
Cited by
Cited by
Quantum discord bounds the amount of distributed entanglement
TK Chuan, J Maillard, K Modi, T Paterek, M Paternostro, M Piani
Physical review letters 109 (7), 070501, 2012
Black holes and white rabbits: Metaphor identification with visual features
E Shutova, D Kiela, J Maillard
Proceedings of the 2016 Conference of the North American Chapter of the …, 2016
Jointly Learning Sentence Embeddings and Syntax with Unsupervised Tree-LSTMs
J Maillard, S Clark, D Yogatama
Natural Language Engineering 25 (4), 433-449, 2019
A Type-Driven Tensor-Based Semantics for CCG
J Maillard, S Clark, E Grefenstette
EACL 2014 Type Theory and Natural Language Semantics Workshop (TTNLS), 46, 2014
RELPRON: A relative clause evaluation data set for compositional distributional semantics
L Rimell, J Maillard, T Polajnar, S Clark
Computational Linguistics, 2017
Learning adjective meanings with a tensor-based skip-gram model
J Maillard, S Clark
Proceedings of the Nineteenth Conference on Computational Natural Language …, 2015
Latent Tree Learning with Differentiable Parsers: Shift-Reduce Parsing and Chart Parsing
J Maillard, S Clark
Proceedings of the Workshop on the Relevance of Linguistic Structure in …, 2018
The Categorial Framework for Compositional Distributional Semantics
S Clark, L Rimell, T Polajnar, J Maillard
University of Cambridge Computer Laboratory, 2016
Conversational Semantic Parsing
A Aghajanyan, J Maillard, A Shrivastava, K Diedrick, M Haeger, H Li, ...
arXiv preprint arXiv:2009.13655, 2020
Decoding Brain Activity Associated with Literal and Metaphoric Sentence Comprehension Using Distributional Semantic Models
VG Djokic, J Maillard, L Bulat, E Shutova
Transactions of the Association for Computational Linguistics 8, 231-246, 2020
Modeling affirmative and negated action processing in the brain with lexical and compositional semantic models
V Djokic, J Maillard, L Bulat, E Shutova
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
Decoding Affirmative and Negated Action-Related Sentences in the Brain with Distributional Semantic Models.
V Djokic, J Maillard, L Bulat, E Shutova
CogSci, 1660, 2019
Machine learning methods for vector-based compositional semantics
J Maillard
University of Cambridge, 2019
Research Data Supporting "RELPRON: A Relative Clause Evaluation Data Set for Compositional Distributional Semantics"
L Rimell, J Maillard, T Polajnar, S Clark
University of Cambridge, 2016
Quantum Discord Bounds the Amount of Distributed Entanglement
M Piani, T Kok Chuan, J Maillard, K Modi, T Paterek, M Paternostro
APS 2013, U27. 005, 2013
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