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Keqing He 0001
Person information
- affiliation: Meituan Group, Beijing, China
- affiliation: Beijing University of Posts and Telecommunications, Department of Information and Communication Engineering, Beijing, China
Other persons with the same name
- Keqing He
- Keqing He 0002
— Wuhan University, School of Computer Science, State Key Laboratory of Software Engineering, Wuhan, China
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2020 – today
- 2024
- [c46]Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Weiran Xu, Jingang Wang, Mengdi Zhang, Xunliang Cai:
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. ACL (1) 2024: 4706-4721 - [c45]Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. LREC/COLING 2024: 2354-2364 - [c44]Weihao Zeng, Keqing He, Yejie Wang, Dayuan Fu, Weiran Xu:
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses. LREC/COLING 2024: 2458-2467 - [c43]Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang:
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models. EMNLP 2024: 5583-5595 - [c42]Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu:
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data. EMNLP 2024: 14027-14043 - [c41]Wei Liu
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning. ICLR 2024 - [c40]Weihao Zeng, Dayuan Fu, Keqing He, Yejie Wang, Yukai Xu, Weiran Xu:
DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations. NAACL-HLT (Findings) 2024: 800-813 - [i35]Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu:
Knowledge Editing on Black-box Large Language Models. CoRR abs/2402.08631 (2024) - [i34]Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Yutao Mou, Mengdi Zhang, Jingang Wang, Xunliang Cai, Weiran Xu:
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. CoRR abs/2402.09136 (2024) - [i33]Pei Wang, Yejie Wang, Muxi Diao, Keqing He, Guanting Dong, Weiran Xu:
Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models. CoRR abs/2402.11279 (2024) - [i32]Dayuan Fu, Jianzhao Huang, Siyuan Lu, Guanting Dong, Yejie Wang, Keqing He, Weiran Xu:
PreAct: Predicting Future in ReAct Enhances Agent's Planning Ability. CoRR abs/2402.11534 (2024) - [i31]Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. CoRR abs/2402.17256 (2024) - [i30]Weihao Zeng, Keqing He, Yejie Wang, Dayuan Fu, Weiran Xu:
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses. CoRR abs/2403.01163 (2024) - [i29]Weihao Zeng, Dayuan Fu, Keqing He, Yejie Wang, Yukai Xu, Weiran Xu:
DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations. CoRR abs/2404.00557 (2024) - [i28]Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu:
How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data. CoRR abs/2409.03810 (2024) - 2023
- [c39]Xuefeng Li, Liwen Wang, Guanting Dong, Keqing He, Jinzheng Zhao, Hao Lei, Jiachi Liu, Weiran Xu:
Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting. ACL (Findings) 2023: 825-834 - [c38]Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu:
FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue. ACL (1) 2023: 6532-6546 - [c37]Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu:
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery. ACL (1) 2023: 9661-9675 - [c36]Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu, Weiran Xu:
Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation. ACL (1) 2023: 14179-14196 - [c35]Guanting Dong
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER. CIKM 2023: 430-440 - [c34]Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. EMNLP (Findings) 2023: 3926-3939 - [c33]Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Jinxu Zhao, Pei Wang, Weiran Xu:
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition. EMNLP (Findings) 2023: 4370-4382 - [c32]Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. EMNLP 2023: 10291-10304 - [c31]Guanting Dong, Tingfeng Hui, Zhuoma Gongque, Jinxu Zhao, Daichi Guo, Gang Zhao
DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task. EMNLP (Findings) 2023: 10506-10518 - [c30]Guanting Dong, Zechen Wang, Liwen Wang, Daichi Guo, Dayuan Fu, Yuxiang Wu, Chen Zeng, Xuefeng Li, Tingfeng Hui, Keqing He, Xinyue Cui, QiXiang Gao, Weiran Xu:
A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Named Entity Recognition. ICASSP 2023: 1-5 - [c29]Daichi Guo, Guanting Dong, Dayuan Fu, Yuxiang Wu, Chen Zeng, Tingfeng Hui, Liwen Wang, Xuefeng Li, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu:
Revisit Out-Of-Vocabulary Problem For Slot Filling: A Unified Contrastive Framework With Multi-Level Data Augmentations. ICASSP 2023: 1-5 - [c28]Guanting Dong, Jinxu Zhao, Tingfeng Hui, Daichi Guo, Wenlong Wang, Boqi Feng, Yueyan Qiu, Zhuoma Gongque, Keqing He, Zechen Wang, Weiran Xu:
Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task. NLPCC (1) 2023: 682-694 - [i27]Daichi Guo, Guanting Dong, Dayuan Fu, Yuxiang Wu, Chen Zeng, Tingfeng Hui, Liwen Wang, Xuefeng Li, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu:
Revisit Out-Of-Vocabulary Problem for Slot Filling: A Unified Contrastive Frameword with Multi-level Data Augmentations. CoRR abs/2302.13584 (2023) - [i26]Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu:
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery. CoRR abs/2305.17699 (2023) - [i25]Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Yang Yang, Hongyin Tang, Keqing He, Jiahao Liu, Jingang Wang, Shu Zhao, Peng Zhang, Jie Tang:
GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model. CoRR abs/2306.06629 (2023) - [i24]Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu:
FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue. CoRR abs/2306.10315 (2023) - [i23]Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu, Weiran Xu:
Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation. CoRR abs/2306.10317 (2023) - [i22]Xuefeng Li, Liwen Wang, Guanting Dong, Keqing He, Jinzheng Zhao, Hao Lei, Jiachi Liu, Weiran Xu:
Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting. CoRR abs/2307.02830 (2023) - [i21]Guanting Dong, Zechen Wang, Jinxu Zhao, Gang Zhao, Daichi Guo, Dayuan Fu, Tingfeng Hui, Chen Zeng, Keqing He, Xuefeng Li, Liwen Wang, Xinyue Cui, Weiran Xu:
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER. CoRR abs/2308.14533 (2023) - [i20]Jiachi Liu, Liwen Wang, Guanting Dong, Xiaoshuai Song, Zechen Wang, Zhengyang Wang, Shanglin Lei, Jinzheng Zhao, Keqing He, Bo Xiao, Weiran Xu:
Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations. CoRR abs/2310.03518 (2023) - [i19]Guanting Dong, Jinxu Zhao, Tingfeng Hui, Daichi Guo, Wenlong Wang, Boqi Feng, Yueyan Qiu, Zhuoma Gongque, Keqing He, Zechen Wang, Weiran Xu:
Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task. CoRR abs/2310.06504 (2023) - [i18]Guanting Dong, Tingfeng Hui, Zhuoma Gongque, Jinxu Zhao, Daichi Guo, Gang Zhao, Keqing He, Weiran Xu:
DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task. CoRR abs/2310.10169 (2023) - [i17]Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. CoRR abs/2310.10176 (2023) - [i16]Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Pei Wang, Weiran Xu:
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition. CoRR abs/2310.10184 (2023) - [i15]Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. CoRR abs/2310.13380 (2023) - [i14]Wei Liu, Weihao Zeng, Keqing He, Yong Jiang, Junxian He:
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning. CoRR abs/2312.15685 (2023) - 2022
- [c27]Yutao Mou, Keqing He, Yanan Wu, Zhiyuan Zeng, Hong Xu, Huixing Jiang, Wei Wu, Weiran Xu:
Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning. ACL (2) 2022: 46-53 - [c26]Keqing He, Jingang Wang, Chaobo Sun, Wei Wu:
Unified Knowledge Prompt Pre-training for Customer Service Dialogues. CIKM 2022: 4009-4013 - [c25]Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Weiran Xu:
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation. COLING 2022: 608-615 - [c24]Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng, Weiran Xu:
Generalized Intent Discovery: Learning from Open World Dialogue System. COLING 2022: 707-720 - [c23]Guanting Dong, Daichi Guo, Liwen Wang, Xuefeng Li, Zechen Wang, Chen Zeng, Keqing He, Jinzheng Zhao, Hao Lei, Xinyue Cui, Yi Huang, Junlan Feng, Weiran Xu:
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling. COLING 2022: 5327-5334 - [c22]Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu:
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. EMNLP 2022: 1517-1529 - [c21]Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu:
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning. EMNLP 2022: 7317-7325 - [c20]Yanan Wu, Keqing He, Yuanmeng Yan, QiXiang Gao, Zhiyuan Zeng, Fujia Zheng, Lulu Zhao, Huixing Jiang, Wei Wu, Weiran Xu:
Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold. NAACL-HLT 2022: 4165-4179 - [c19]Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Weiran Xu, Huixing Jiang, Wei Wu, Yanan Wu:
Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization. NAACL-HLT 2022: 4848-4862 - [c18]Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Ruotong Geng, Huixing Jiang, Wei Wu, Weiran Xu:
ADPL: Adversarial Prompt-based Domain Adaptation for Dialogue Summarization with Knowledge Disentanglement. SIGIR 2022: 245-255 - [i13]Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Weiran Xu, Huixing Jiang, Wei Wu, Yanan Wu:
Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization. CoRR abs/2204.04362 (2022) - [i12]Guanting Dong, Daichi Guo, Liwen Wang, Xuefeng Li, Zechen Wang, Chen Zeng, Keqing He, Jinzheng Zhao, Hao Lei, Xinyue Cui, Yi Huang, Junlan Feng, Weiran Xu:
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling. CoRR abs/2208.11508 (2022) - [i11]Keqing He, Jingang Wang, Chaobo Sun, Wei Wu:
Unified Knowledge Prompt Pre-training for Customer Service Dialogues. CoRR abs/2208.14652 (2022) - [i10]Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng, Weiran Xu:
Generalized Intent Discovery: Learning from Open World Dialogue System. CoRR abs/2209.06030 (2022) - [i9]Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Weiran Xu:
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation. CoRR abs/2209.06612 (2022) - [i8]Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Yuanmeng Yan, Weiran Xu:
Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning. CoRR abs/2210.08830 (2022) - [i7]Weihao Zeng, Keqing He, Zechen Wang, Dayuan Fu, Guanting Dong, Ruotong Geng, Pei Wang, Jingang Wang, Chaobo Sun, Wei Wu, Weiran Xu:
Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems. CoRR abs/2210.08873 (2022) - [i6]Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu:
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. CoRR abs/2210.08909 (2022) - [i5]Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu:
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning. CoRR abs/2210.10722 (2022) - 2021
- [j2]Keqing He, Yuanmeng Yan, Weiran Xu:
From context-aware to knowledge-aware: Boosting OOV tokens recognition in slot tagging with background knowledge. Neurocomputing 445: 267-275 (2021) - [c17]Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Zijun Liu, Yanan Wu, Hong Xu, Huixing Jiang, Weiran Xu:
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning. ACL/IJCNLP (2) 2021: 870-878 - [c16]Sihong Liu, Jinchao Zhang, Keqing He, Weiran Xu, Jie Zhou:
Scheduled Dialog Policy Learning: An Automatic Curriculum Learning Framework for Task-oriented Dialog System. ACL/IJCNLP (Findings) 2021: 1091-1102 - [c15]Yanan Wu, Zhiyuan Zeng, Keqing He, Hong Xu, Yuanmeng Yan, Huixing Jiang, Weiran Xu:
Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System. ACL/IJCNLP (1) 2021: 3484-3494 - [c14]Yuejie Lei, Fujia Zheng, Yuanmeng Yan, Keqing He, Weiran Xu:
A Finer-grain Universal Dialogue Semantic Structures based Model For Abstractive Dialogue Summarization. EMNLP (Findings) 2021: 1354-1364 - [c13]Liwen Wang, Xuefeng Li, Jiachi Liu, Keqing He, Yuanmeng Yan, Weiran Xu:
Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling. EMNLP (1) 2021: 9474-9480 - [c12]Zhiyuan Zeng, Hong Xu, Keqing He, Yuanmeng Yan, Sihong Liu, Zijun Liu, Weiran Xu:
Adversarial Generative Distance-Based Classifier for Robust Out-of-Domain Detection. ICASSP 2021: 7658-7662 - [c11]Yuejie Lei, Yuanmeng Yan, Zhiyuan Zeng, Keqing He, Ximing Zhang, Weiran Xu:
Hierarchical Speaker-Aware Sequence-to-Sequence Model for Dialogue Summarization. ICASSP 2021: 7823-7827 - [c10]Zijun Liu, Yuanmeng Yan, Keqing He, Sihong Liu, Hong Xu, Weiran Xu:
Self-training with Masked Supervised Contrastive Loss for Unknown Intents Detection. IJCNN 2021: 1-7 - [c9]Liwen Wang, Yuanmeng Yan, Keqing He, Yanan Wu, Weiran Xu:
Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack. NAACL-HLT 2021: 3740-3750 - [c8]Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Hong Xu, Weiran Xu:
Adversarial Self-Supervised Learning for Out-of-Domain Detection. NAACL-HLT 2021: 5631-5639 - [i4]Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Zijun Liu, Yanan Wu, Hong Xu, Huixing Jiang, Weiran Xu:
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning. CoRR abs/2105.14289 (2021) - [i3]Yanan Wu, Zhiyuan Zeng, Keqing He, Hong Xu, Yuanmeng Yan, Huixing Jiang, Weiran Xu:
Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System. CoRR abs/2105.14313 (2021) - [i2]Liwen Wang, Xuefeng Li, Jiachi Liu, Keqing He, Yuanmeng Yan, Weiran Xu:
Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling. CoRR abs/2110.03572 (2021) - [i1]Lulu Zhao, Fujia Zheng, Keqing He, Weihao Zeng, Yuejie Lei, Huixing Jiang, Wei Wu, Weiran Xu, Jun Guo, Fanyu Meng:
TODSum: Task-Oriented Dialogue Summarization with State Tracking. CoRR abs/2110.12680 (2021) - 2020
- [j1]Keqing He
Multi-Level Cross-Lingual Transfer Learning With Language Shared and Specific Knowledge for Spoken Language Understanding. IEEE Access 8: 29407-29416 (2020) - [c7]Keqing He, Yuanmeng Yan, Weiran Xu:
Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge. ACL 2020: 619-624 - [c6]Hong Xu, Keqing He, Yuanmeng Yan, Sihong Liu, Zijun Liu, Weiran Xu:
A Deep Generative Distance-Based Classifier for Out-of-Domain Detection with Mahalanobis Space. COLING 2020: 1452-1460 - [c5]Keqing He, Jinchao Zhang, Yuanmeng Yan, Weiran Xu, Cheng Niu, Jie Zhou:
Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack. COLING 2020: 1461-1467 - [c4]Keqing He, Shuyu Lei, Yushu Yang, Huixing Jiang, Zhongyuan Wang:
Syntactic Graph Convolutional Network for Spoken Language Understanding. COLING 2020: 2728-2738 - [c3]Yuanmeng Yan, Keqing He, Hong Xu, Sihong Liu, Fanyu Meng, Min Hu, Weiran Xu:
Adversarial Semantic Decoupling for Recognizing Open-Vocabulary Slots. EMNLP (1) 2020: 6070-6075 - [c2]Keqing He, Yuanmeng Yan, Weiran Xu:
Adversarial Cross-Lingual Transfer Learning for Slot Tagging of Low-Resource Languages. IJCNN 2020: 1-8 - [c1]Keqing He, Yuanmeng Yan, Hong Xu, Sihong Liu, Zijun Liu, Weiran Xu:
Learning Label-Relational Output Structure for Adaptive Sequence Labeling. IJCNN 2020: 1-8
Coauthor Index
[c46] [c45] [c44] [c42] [c40] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [i27] [i26] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [c27] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [i13] [i12] [i10] [i9] [i8] [i7] [i6] [i5] [j2] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [i4] [i3] [i2] [i1] [j1] [c7] [c6] [c5] [c3] [c2] [c1]
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