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 | 3409 | 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 | 770 | 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 | 656 | 2022 |
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, ... Advances in Neural Information Processing Systems 36, 2023 | 503 | 2023 |
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, ... Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 219 | 2019 |
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 | 205 | 2018 |
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 | 203 | 2019 |
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 | 148 | 2019 |
Mega: moving average equipped gated attention X Ma, C Zhou, X Kong, J He, L Gui, G Neubig, J May, L Zettlemoyer International Conference on Learning Representations (ICLR) 2023, 2023 | 132* | 2023 |
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 | 125 | 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 | 122 | 2021 |
How long can opensource llms truly promise on context length D Li, R Shao, A Xie, Y Sheng, L Zheng, JE Gonzalez, I Stoica, X Ma, ... arXiv preprint arXiv:2306.04537, 2023 | 90* | 2023 |
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 | 90 | 2014 |
Fourth-Order Dependency Parsing. X Ma, H Zhao Proceedings of the 24th International Conference on Computational …, 2012 | 67 | 2012 |
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, ... Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 66 | 2019 |
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 | 64 | 2010 |
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 | 63 | 2020 |
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 | 59 | 2021 |
Macow: Masked convolutional generative flow X Ma, X Kong, S Zhang, E Hovy Thirty-third Conference on Neural Information Processing Systems (NeurIPS-2019), 2019 | 56 | 2019 |
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 | 56 | 2017 |