| Sequence-based structured prediction for semantic parsing C Xiao, M Dymetman, C Gardent Annual meeting of the Association for Computational Linguistics (ACL), 1341-1350, 2016 | 127 | 2016 |
| Semantic parsing using deep neural networks for predicting canonical forms C Xiao, M Dymetman, C Gardent US Patent 9,858,263, 2018 | 72 | 2018 |
| Sequence-based structured prediction for semantic parsing C Xiao, M Dymetman, C Gardent US Patent 9,830,315, 2017 | 39 | 2017 |
| Symbolic priors for rnn-based semantic parsing C Xiao, M Dymetman, C Gardent arXiv preprint arXiv:1809.07721, 2018 | 13 | 2018 |
| Method of generating business process model and computerized system associated therewith K Suri, C Xiao, AC Mos US Patent App. 15/245,346, 2018 | 8 | 2018 |
| Log-linear rnns: Towards recurrent neural networks with flexible prior knowledge M Dymetman, C Xiao arXiv preprint arXiv:1607.02467, 2016 | 7 | 2016 |
| Grammatical sequence prediction for real-time neural semantic parsing C Xiao, C Teichmann, K Arkoudas arXiv preprint arXiv:1907.11049, 2019 | 5 | 2019 |
| Robust reversible finite-state approach to contextual generation and semantic parsing M Dymetman, S Venkatapathy, C Xiao US Patent App. 14/811,005, 2017 | 5 | 2017 |
| Symbolic priors for recurrent neural network based semantic parsing C Xiao, M Dymetman US Patent 10,853,724, 2020 | 3 | 2020 |
| A call for better unit testing for invariant risk minimisation C Xiao, P Madhyastha arXiv preprint arXiv:2106.03234, 2021 | 2 | 2021 |
| Log-linear recurrent neural network M Dymetman, C Xiao US Patent App. 15/607,867, 2018 | 1 | 2018 |
| Neural-Symbolic Learning for Semantic Parsing C Xiao Université de Lorraine, 2017 | 1 | 2017 |
| Orthogonality regularizer for question answering C Xiao, G Bouchard, M Dymetman, C Gardent Proceedings of the Fifth Joint Conference on Lexical and Computational …, 2016 | 1 | 2016 |
| Towards Robust Aspect-based Sentiment Analysis through Non-counterfactual Augmentations X Liu, Y Ding, K An, C Xiao, P Madhyastha, T Xiao, J Zhu arXiv preprint arXiv:2306.13971, 2023 | | 2023 |
| Log-Linear RNNs: Towards Recurrent Neural Networks with Flexible Prior Knowledge (Version 1.0) M Dymetman, C Xiao arXiv preprint arXiv:1607.02467, 2016 | | 2016 |
| Move from Perturbed scheme to exponential weighting average C Xiao arXiv preprint arXiv:1512.07074, 2015 | | 2015 |
| Reversibility reconsidered: finite-state factors for efficient probabilistic sampling in parsing and generation M Dymetman, S Venkatapathy, C Xiao Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | | 2015 |
Marc DymetmanIndependent Researcher (Prev. Principal Scientist, NAVER Labs Europe)Verified email at naverlabs.com
