| End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF X Ma, E Hovy Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 3158 | 2016 |
| Harnessing Deep Neural Networks with Logic Rules Z Hu, X Ma, Z Liu, E Hovy, E Xing Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 716 | 2016 |
| Towards a unified view of parameter-efficient transfer learning J He, C Zhou, X Ma, T Berg-Kirkpatrick, G Neubig Proceedings of 10th International Conference on Learning Representations …, 2022 | 376 | 2022 |
| Stack-Pointer Networks for Dependency Parsing X Ma, Z Hu, J Liu, N Peng, G Neubig, E Hovy Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 199 | 2018 |
| Choosing transfer languages for cross-lingual learning YH Lin, CY Chen, J Lee, Z Li, Y Zhang, M Xia, S Rijhwani, J He, Z Zhang, ... arXiv preprint arXiv:1905.12688, 2019 | 188 | 2019 |
| FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow X Ma, C Zhou, X Li, G Neubig, E Hovy Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 178 | 2019 |
| Lima: Less is more for alignment C Zhou, P Liu, P Xu, S Iyer, J Sun, Y Mao, X Ma, A Efrat, P Yu, L Yu, ... arXiv preprint arXiv:2305.11206, 2023 | 141 | 2023 |
| On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing W Ahmad, Z Zhang, X Ma, E Hovy, KW Chang, N Peng Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 140 | 2019 |
| An Interpretable Knowledge Transfer Model for Knowledge Base Completion Q Xie, X Ma, Z Dai, E Hovy Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 118 | 2017 |
| Luna: Linear Unified Nested Attention X Ma, X Kong, S Wang, C Zhou, J May, H Ma, L Zettlemoyer Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS-2021), 2021 | 88 | 2021 |
| Unsupervised Dependency Parsing with Transferring Distribution via Parallel Guidance and Entropy Regularization X Ma, F Xia Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 88 | 2014 |
| Texar: A modularized, versatile, and extensible toolkit for text generation Z Hu, H Shi, B Tan, W Wang, Z Yang, T Zhao, J He, L Qin, D Wang, X Ma, ... arXiv preprint arXiv:1809.00794, 2018 | 72 | 2018 |
| Fourth-Order Dependency Parsing. X Ma, H Zhao Proceedings of the 24th International Conference on Computational …, 2012 | 66 | 2012 |
| Automatic prosody prediction and detection with Conditional Random Field (CRF) models Y Qian, Z Wu, X Ma, F Soong 2010 7th International Symposium on Chinese Spoken Language Processing, 135-138, 2010 | 63 | 2010 |
| Macow: Masked convolutional generative flow X Ma, X Kong, S Zhang, E Hovy Thirty-third Conference on Neural Information Processing Systems (NeurIPS-2019), 2019 | 53 | 2019 |
| A two-step approach for implicit event argument detection Z Zhang, X Kong, Z Liu, X Ma, E Hovy Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 52 | 2020 |
| Neural probabilistic model for non-projective MST parsing X Ma, E Hovy The 8th International Joint Conference on Natural Language Processing …, 2017 | 51 | 2017 |
| Examining and Combating Spurious Features under Distribution Shift C Zhou, X Ma, P Michel, G Neubig Proceedings of the 38th International Conference on Machine Learning, 2021 | 50 | 2021 |
| Dropout with Expectation-linear Regularization X Ma, Y Gao, Z Hu, Y Yu, Y Deng, E Hovy Proceedings of 5th International Conference on Learning Representations …, 2017 | 49 | 2017 |
| Density Matching for Bilingual Word Embedding C Zhou, X Ma, D Wang, G Neubig Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 40 | 2019 |
Eduard HovyUniversity of Melbourne, CMUVerified email at andrew.cmu.edu
