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Jean Maillard
Tytuł
Cytowane przez
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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
1982012
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
1792016
KILT: a benchmark for knowledge intensive language tasks
F Petroni, A Piktus, A Fan, P Lewis, M Yazdani, N De Cao, J Thorne, ...
arXiv preprint arXiv:2009.02252, 2020
1732020
Jointly Learning Sentence Embeddings and Syntax with Unsupervised Tree-LSTMs
J Maillard, S Clark, D Yogatama
Natural Language Engineering 25 (4), 433-449, 2019
752019
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
442014
Conversational semantic parsing
A Aghajanyan, J Maillard, A Shrivastava, K Diedrick, M Haeger, H Li, ...
arXiv preprint arXiv:2009.13655, 2020
372020
Multi-task retrieval for knowledge-intensive tasks
J Maillard, V Karpukhin, F Petroni, W Yih, B Oğuz, V Stoyanov, G Ghosh
arXiv preprint arXiv:2101.00117, 2021
332021
RELPRON: A relative clause evaluation data set for compositional distributional semantics
L Rimell, J Maillard, T Polajnar, S Clark
Computational Linguistics, 2017
322017
Learning adjective meanings with a tensor-based skip-gram model
J Maillard, S Clark
Proceedings of the Nineteenth Conference on Computational Natural Language …, 2015
212015
No language left behind: Scaling human-centered machine translation
NLLB Team, MR Costa-jussà, J Cross, O Çelebi, M Elbayad, K Heafield, ...
arXiv preprint arXiv:2207.04672, 2022
18*2022
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
162018
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
62020
The categorial framework for compositional distributional semantics
S Clark, L Rimell, T Polajnar, J Maillard
University of Cambridge Computer Laboratory, 2016
52016
Findings of the WMT 2022 shared task on large-scale machine translation evaluation for african languages
DI Adelani, MMI Alam, A Anastasopoulos, A Bhagia, M Costa-Jussá, ...
Proceedings of the Seventh Conference on Machine Translation, Online …, 2022
32022
Modeling affirmative and negated action processing in the brain with lexical and compositional semantic models
V G Djokic, J Maillard, L Bulat, E Shutova
Association for Computational Linguistics 19, 5155-5165, 2019
32019
A Universal Dependencies corpus for Ligurian
S Lusito, J Maillard
Proceedings of the Fifth Workshop on Universal Dependencies (UDW, SyntaxFest …, 2021
12021
Text normalization for endangered languages: the case of Ligurian
S Lusito, E Ferrante, J Maillard
arXiv preprint arXiv:2206.07861, 2022
2022
OCR Improves Machine Translation for Low-Resource Languages
O Ignat, J Maillard, V Chaudhary, F Guzmán
arXiv preprint arXiv:2202.13274, 2022
2022
Machine learning methods for vector-based compositional semantics
J Maillard
University of Cambridge, 2020
2020
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
2019
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