| 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 | 470 | 2017 |
| Poincaré embeddings for learning hierarchical representations M Nickel, D Kiela Advances in neural information processing systems, 6338-6347, 2017 | 161 | 2017 |
| 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 | 132 | 2014 |
| 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 | 103 | 2014 |
| 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 | 91 | 2018 |
| 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 | 82 | 2015 |
| Senteval: An evaluation toolkit for universal sentence representations A Conneau, D Kiela arXiv preprint arXiv:1803.05449, 2018 | 61 | 2018 |
| 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 | 61 | 2016 |
| 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 | 52 | 2014 |
| 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 | 48 | 2015 |
| Learning continuous hierarchies in the lorentz model of hyperbolic geometry M Nickel, D Kiela arXiv preprint arXiv:1806.03417, 2018 | 44 | 2018 |
| 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 | 33 | 2017 |
| Adaptive communication: Languages with more non-native speakers tend to have fewer word forms C Bentz, A Verkerk, D Kiela, F Hill, P Buttery PLoS One 10 (6), e0128254, 2015 | 33 | 2015 |
| Exploiting image generality for lexical entailment detection D Kiela, L Rimell, I Vulić, S Clark Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 32 | 2015 |
| Zipf's law and the grammar of languages: A quantitative study of Old and Modern English parallel texts C Bentz, D Kiela, F Hill, P Buttery Corpus Linguistics and Linguistic Theory 10 (2), 175-211, 2014 | 31 | 2014 |
| Visually grounded and textual semantic models differentially decode brain activity associated with concrete and abstract nouns AJ Anderson, D Kiela, S Clark, M Poesio Transactions of the Association for Computational Linguistics 5, 17-30, 2017 | 29 | 2017 |
| Emergent communication in a multi-modal, multi-step referential game K Evtimova, A Drozdov, D Kiela, K Cho arXiv preprint arXiv:1705.10369, 2017 | 29* | 2017 |
| Visual bilingual lexicon induction with transferred convnet features D Kiela, I Vulić, S Clark Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 27 | 2015 |
| Detecting compositionality of multi-word expressions using nearest neighbours in vector space models D Kiela, S Clark Proceedings of the 2013 conference on empirical methods in natural language …, 2013 | 25 | 2013 |
| Dynamic meta-embeddings for improved sentence representations D Kiela, C Wang, K Cho arXiv preprint arXiv:1804.07983, 2018 | 24* | 2018 |
Stephen ClarkResearch Scientist, DeepMind; Honorary Professor, Queen Mary University of London確認したメール アドレス: cl.cam.ac.uk