| Hypothesis only baselines in natural language inference A Poliak, J Naradowsky, A Haldar, R Rudinger, B Van Durme arXiv preprint arXiv:1805.01042, 2018 | 566 | 2018 |
| Gender bias in coreference resolution R Rudinger, J Naradowsky, B Leonard, B Van Durme arXiv preprint arXiv:1804.09301, 2018 | 540 | 2018 |
| Polylingual topic models D Mimno, H Wallach, J Naradowsky, DA Smith, A McCallum Proceedings of the 2009 conference on empirical methods in natural language …, 2009 | 480 | 2009 |
| Programming with a differentiable forth interpreter M Bošnjak, T Rocktäschel, J Naradowsky, S Riedel International conference on machine learning, 547-556, 2017 | 113 | 2017 |
| Meta-learning extractors for music source separation D Samuel, A Ganeshan, J Naradowsky ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 80 | 2020 |
| Noise reduction and targeted exploration in imitation learning for abstract meaning representation parsing J Goodman, A Vlachos, J Naradowsky Proceedings of the 54th annual meeting of the association for computational …, 2016 | 56 | 2016 |
| Language modeling for morphologically rich languages: Character-aware modeling for word-level prediction D Gerz, I Vulić, E Ponti, J Naradowsky, R Reichart, A Korhonen Transactions of the Association for Computational Linguistics 6, 451-465, 2018 | 53 | 2018 |
| A discriminative model for joint morphological disambiguation and dependency parsing JSY Lee, J Naradowsky, DA Smith Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011 | 42 | 2011 |
| Improving morphology induction by learning spelling rules J Naradowsky, S Goldwater Twenty-first International Joint Conference on Artificial Intelligence, 2009 | 38 | 2009 |
| Improving NLP through marginalization of hidden syntactic structure J Naradowsky, S Riedel, DA Smith Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012 | 36 | 2012 |
| Unsupervised bilingual morpheme segmentation and alignment with context-rich hidden semi-Markov models J Naradowsky, K Toutanova Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011 | 35 | 2011 |
| UCL+ Sheffield at SemEval-2016 Task 8: Imitation learning for AMR parsing with an alpha-bound J Goodman, A Vlachos, J Naradowsky Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016 | 22 | 2016 |
| Matrix and tensor factorization methods for natural language processing G Bouchard, J Naradowsky, S Riedel, T Rocktäschel, A Vlachos Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 14 | 2015 |
| A structured variational autoencoder for contextual morphological inflection L Wolf-Sonkin, J Naradowsky, SJ Mielke, R Cotterell arXiv preprint arXiv:1806.03746, 2018 | 13 | 2018 |
| Ask an expert: Leveraging language models to improve strategic reasoning in goal-oriented dialogue models Q Zhang, J Naradowsky, Y Miyao arXiv preprint arXiv:2305.17878, 2023 | 12 | 2023 |
| Grammarless Parsing for Joint Inference J Naradowsky, T Vieira, DA Smith COLING, 2012 | 10 | 2012 |
| Improvised robotic design with found objects A Maekawa, A Kume, H Yoshida, J Hatori, J Naradowsky, S Saito Proc. 3rd Conf. NeurIPS Workshop Mach. Learn. Creativity Des, 1-5, 2018 | 6 | 2018 |
| Modeling exclusion with a differentiable factor graph constraint J Naradowsky, S Riedel ICML (Workshop Track), 2017 | 4 | 2017 |
| WOLFE: an nlp-friendly declarative machine learning stack S Singh, T Rocktäschel, L Hewitt, J Naradowsky, S Riedel Proceedings of the 2015 Conference of the North American Chapter of the …, 2015 | 4 | 2015 |
| Fiction-Writing Mode: An Effective Control for Human-Machine Collaborative Writing W Zhong, J Naradowsky, H Takamura, I Kobayashi, Y Miyao Proceedings of the 17th Conference of the European Chapter of the …, 2023 | 3 | 2023 |
