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Jeff Mitchell
Jeff Mitchell
Unknown affiliation
Verified email at sussex.ac.uk
Title
Cited by
Cited by
Year
Composition in distributional models of semantics
J Mitchell, M Lapata
Cognitive science 34 (8), 1388-1429, 2010
11752010
Vector-based models of semantic composition
J Mitchell, M Lapata
proceedings of ACL-08: HLT, 236-244, 2008
9182008
Ucl machine reading group: Four factor framework for fact finding (hexaf)
T Yoneda, J Mitchell, J Welbl, P Stenetorp, S Riedel
Proceedings of the First Workshop on Fact Extraction and VERification (FEVER …, 2018
1132018
Deep problems with neural network models of human vision
JS Bowers, G Malhotra, M Dujmović, ML Montero, C Tsvetkov, V Biscione, ...
Behavioral and Brain Sciences 46, e385, 2023
992023
Language models based on semantic composition
J Mitchell, M Lapata
Proceedings of the 2009 conference on empirical methods in natural language …, 2009
992009
Syntactic and semantic factors in processing difficulty: An integrated measure
J Mitchell, M Lapata, V Demberg, F Keller
Proceedings of the 48th annual meeting of the association for computational …, 2010
782010
Behavior analysis of NLI models: Uncovering the influence of three factors on robustness
VIS Carmona, J Mitchell, S Riedel
arXiv preprint arXiv:1805.04212, 2018
482018
Extrapolation in NLP
J Mitchell, P Minervini, P Stenetorp, S Riedel
arXiv preprint arXiv:1805.06648, 2018
192018
Orthogonality of syntax and semantics within distributional spaces
J Mitchell, M Steedman
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
152015
Priorless recurrent networks learn curiously
J Mitchell, J Bowers
Proceedings of the 28th international conference on computational …, 2020
122020
Jack the reader-A machine reading framework
D Weissenborn, P Minervini, T Dettmers, I Augenstein, J Welbl, ...
arXiv preprint arXiv:1806.08727, 2018
122018
The SUMMA platform prototype
R Liepins, U Germann, G Barzdins, A Birch, S Renals, S Weber, ...
15th EACL 2017 Software Demonstrations, 116-119, 2017
52017
Harnessing the symmetry of convolutions for systematic generalisation
J Mitchell, JS Bowers
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
32020
Do LSTMs know about Principle C?
J Mitchell, N Kazanina, C Houghton, J Bowers
Conference on Cognitive Computational Neuroscience, 188-191, 2019
32019
Decomposing bilexical dependencies into semantic and syntactic vectors
J Mitchell
Proceedings of the 1st Workshop on Representation Learning for NLP, 127-136, 2016
32016
Parser adaptation to the biomedical domain without re-training
J Mitchell, M Steedman
Proceedings of the Sixth International Workshop on Health Text Mining and …, 2015
22015
Learning semantic representations in a bigram language model
J Mitchell
Proceedings of the 10th International Conference on Computational Semantics …, 2013
22013
Generalisation in neural networks does not require feature overlap
J Mitchell, JS Bowers
arXiv preprint arXiv:2107.06872, 2021
12021
Clarifying status of DNNs as models of human vision
JS Bowers, G Malhotra, M Dujmović, ML Montero, C Tsvetkov, V Biscione, ...
Behavioral and Brain Sciences 46, 2023
2023
Disagreement and confusion over the status of DNNs as models of vision
JS Bowers, G Malhotra, M Dujmović, M Montero, C Tsvetkov, G Puebla, ...
PsyArXiv, 2023
2023
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