| 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 | 235 | 2020 |
| 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 | 204 | 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 | 197 | 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 | 80 | 2019 |
| 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 | 71* | 2022 |
| 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 | 45 | 2014 |
| 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 | 43 | 2021 |
| Conversational semantic parsing A Aghajanyan, J Maillard, A Shrivastava, K Diedrick, M Haeger, H Li, ... arXiv preprint arXiv:2009.13655, 2020 | 43 | 2020 |
| RELPRON: A relative clause evaluation data set for compositional distributional semantics L Rimell, J Maillard, T Polajnar, S Clark Computational Linguistics, 2017 | 32 | 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 | 22 | 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 | 17 | 2018 |
| 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 | 9 | 2020 |
| No language left behind: Scaling human-centered machine translation N Team, MR Costa-jussà, J Cross, O Çelebi, M Elbayad, K Heafield, ... línea]. Disponible en: https://github. com/facebookresearch/fairseq/tree/nllb, 2022 | 6 | 2022 |
| 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 | 5 | 2019 |
| The categorial framework for compositional distributional semantics SH Clark, L Rimell, T Polajnar, J Maillard University of Cambridge Computer Laboratory, 2016 | 5 | 2016 |
| 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 | 4 | 2022 |
| OCR Improves Machine Translation for Low-Resource Languages O Ignat, J Maillard, V Chaudhary, F Guzmán arXiv preprint arXiv:2202.13274, 2022 | 2 | 2022 |
| Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity H Xu, M Elbayad, K Murray, J Maillard, V Goswami arXiv preprint arXiv:2305.02176, 2023 | 1 | 2023 |
| Language-Aware Multilingual Machine Translation with Self-Supervised Learning H Xu, J Maillard, V Goswami arXiv preprint arXiv:2302.05008, 2023 | 1 | 2023 |
| A Universal Dependencies corpus for Ligurian S Lusito, J Maillard Proceedings of the Fifth Workshop on Universal Dependencies (UDW, SyntaxFest …, 2021 | 1 | 2021 |
Stephen ClarkQuantinuum; ex-DeepMind, ex-Cambridge, ex-OxfordVerified email at cl.cam.ac.uk
