| Supervised learning of universal sentence representations from natural language inference data A Conneau, D Kiela, H Schwenk, L Barrault, A Bordes arXiv preprint arXiv:1705.02364, 2017 | 1353 | 2017 |
| Poincar\'e embeddings for learning hierarchical representations M Nickel, D Kiela arXiv preprint arXiv:1705.08039, 2017 | 535 | 2017 |
| Personalizing dialogue agents: I have a dog, do you have pets too? S Zhang, E Dinan, J Urbanek, A Szlam, D Kiela, J Weston arXiv preprint arXiv:1801.07243, 2018 | 473 | 2018 |
| Senteval: An evaluation toolkit for universal sentence representations A Conneau, D Kiela arXiv preprint arXiv:1803.05449, 2018 | 231 | 2018 |
| Learning image embeddings using convolutional neural networks for improved multi-modal semantics D Kiela, L Bottou Proceedings of the 2014 Conference on empirical methods in natural language …, 2014 | 212 | 2014 |
| Learning continuous hierarchies in the lorentz model of hyperbolic geometry M Nickel, D Kiela International Conference on Machine Learning, 3779-3788, 2018 | 155 | 2018 |
| A systematic study of semantic vector space model parameters D Kiela, S Clark Proceedings of the 2nd Workshop on Continuous Vector Space Models and their …, 2014 | 149 | 2014 |
| Specializing word embeddings for similarity or relatedness D Kiela, F Hill, S Clark Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 138 | 2015 |
| 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 | 131 | 2016 |
| Adversarial NLI: A new benchmark for natural language understanding Y Nie, A Williams, E Dinan, M Bansal, J Weston, D Kiela arXiv preprint arXiv:1910.14599, 2019 | 112 | 2019 |
| Dynamic meta-embeddings for improved sentence representations D Kiela, C Wang, K Cho arXiv preprint arXiv:1804.07983, 2018 | 82* | 2018 |
| The second conversational intelligence challenge (convai2) E Dinan, V Logacheva, V Malykh, A Miller, K Shuster, J Urbanek, D Kiela, ... arXiv preprint arXiv:1902.00098, 2019 | 80 | 2019 |
| Emergent communication in a multi-modal, multi-step referential game K Evtimova, A Drozdov, D Kiela, K Cho arXiv preprint arXiv:1705.10369, 2017 | 79* | 2017 |
| Retrieval-augmented generation for knowledge-intensive nlp tasks P Lewis, E Perez, A Piktus, F Petroni, V Karpukhin, N Goyal, H Küttler, ... arXiv preprint arXiv:2005.11401, 2020 | 78 | 2020 |
| What makes a good conversation? how controllable attributes affect human judgments A See, S Roller, D Kiela, J Weston arXiv preprint arXiv:1902.08654, 2019 | 78 | 2019 |
| No training required: Exploring random encoders for sentence classification J Wieting, D Kiela arXiv preprint arXiv:1901.10444, 2019 | 75 | 2019 |
| Improving multi-modal representations using image dispersion: Why less is sometimes more D Kiela, F Hill, A Korhonen, S Clark Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 75 | 2014 |
| Hyperlex: A large-scale evaluation of graded lexical entailment I Vulić, D Gerz, D Kiela, F Hill, A Korhonen Computational Linguistics 43 (4), 781-835, 2017 | 73 | 2017 |
| Multi-and cross-modal semantics beyond vision: Grounding in auditory perception D Kiela, S Clark Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 73 | 2015 |
| Hearst patterns revisited: Automatic hypernym detection from large text corpora S Roller, D Kiela, M Nickel arXiv preprint arXiv:1806.03191, 2018 | 70 | 2018 |
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