Hai Ye
Hai Ye
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Interpretable charge predictions for criminal cases: Learning to generate court views from fact descriptions
H Ye, X Jiang, Z Luo, W Chao
North American Chapter of the Association for Computational Linguistics …, 2018
Semi-supervised learning for neural keyphrase generation
H Ye, L Wang
Conference on Empirical Methods in Natural Language Processing (EMNLP), 4142 …, 2018
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation
R He, L Liu, H Ye, Q Tan, B Ding, L Cheng, JW Low, L Bing, L Si
ACL 2021, 2021
Interpretable rationale augmented charge prediction system
X Jiang, H Ye, Z Luo, W Chao, W Ma
Proceedings of the 27th International Conference on Computational …, 2018
Dependency-tree based convolutional neural networks for aspect term extraction
H Ye, Z Yan, Z Luo, W Chao
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 350-362, 2017
Jointly extracting relations with class ties via effective deep ranking
H Ye, W Chao, Z Luo, Z Li
55th Annual Meeting of the Association for Computational Linguistics (ACL) 1 …, 2017
Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization
H Ye, W Li, L Wang
57th Conference of the Association for Computational Linguistics 1, 2090--2101, 2019
Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training
H Ye, Q Tan, R He, J Li, HT Ng, L Bing
EMNLP 2020, 2020
Unsupervised domain adaptation of a pretrained cross-lingual language model
J Li, R He, H Ye, HT Ng, L Bing, R Yan
IJCAI, 2020
Deep ranking based cost-sensitive multi-label learning for distant supervision relation extraction
H Ye, Z Luo
Information Processing & Management 57 (6), 102096, 2020
Robust Question Answering against Distribution Shifts with Test-Time Adaptation: An Empirical Study
H Ye, Y Ding, J Li, HT Ng
Findings of EMNLP, 2023
On the Robustness of Question Rewriting Systems to Questions of Varying Hardness
H Ye, HT Ng, W Han
ACL 2022, 2100-2113, 2022
UiTTa: Online Test-Time Adaptation by User Interaction
H Ye, HT Ng, Y Nie, J Li
Technical Report, 2022
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