Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 5240--5253, 2022

Longxu Dou and Yan Gao and Xuqi Liu and Mingyang Pan and Dingzirui Wang and Wanxiang Che and Dechen Zhan and Min-Yen Kan and Jian-Guang Lou

Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 5240--5253, 2022

Longxu Dou and Yan Gao and Xuqi Liu and Mingyang Pan and Dingzirui Wang and Wanxiang Che and Dechen Zhan and Min-Yen Kan and Jian-Guang Lou

Adaptive Unsupervised Self-training for Disfluency Detection

Proceedings of the 29th International Conference on Computational Linguistics, 7209--7218, 2022.

Wang, Zhongyuan and Wang, Yixuan and Wang, Shaolei and Che, Wanxiang

Adaptive Unsupervised Self-training for Disfluency Detection

Proceedings of the 29th International Conference on Computational Linguistics, 7209--7218, 2022.

Wang, Zhongyuan and Wang, Yixuan and Wang, Shaolei and Che, Wanxiang

CCTC: A Cross-Sentence Chinese Text Correction Dataset for Native Speakers

Proceedings of the 29th International Conference on Computational Linguistics, 3331--3341, 2022.

Wang, Baoxin and Duan, Xingyi and Wu, Dayong and Che, Wanxiang and Chen, Zhigang and Hu, Guoping

CCTC: A Cross-Sentence Chinese Text Correction Dataset for Native Speakers

Proceedings of the 29th International Conference on Computational Linguistics, 3331--3341, 2022.

Wang, Baoxin and Duan, Xingyi and Wu, Dayong and Che, Wanxiang and Chen, Zhigang and Hu, Guoping

CGIM: A Cycle Guided Interactive Learning Model for Consistency Identification in Task-oriented Dialogue

Proceedings of the 29th International Conference on Computational Linguistics, 461--470, 2022.

Qin, Libo and Chen, Qiguang and Xie, Tianbao and Liu, Qian and Huang, Shijue and Che, Wanxiang and Yu, Zhou

CGIM: A Cycle Guided Interactive Learning Model for Consistency Identification in Task-oriented Dialogue

Proceedings of the 29th International Conference on Computational Linguistics, 461--470, 2022.

Qin, Libo and Chen, Qiguang and Xie, Tianbao and Liu, Qian and Huang, Shijue and Che, Wanxiang and Yu, Zhou

Data augmentation approaches in natural language processing: A survey

AI Open, 2022.

Li, Bohan and Hou, Yutai and Che, Wanxiang

Data augmentation approaches in natural language processing: A survey

AI Open, 2022.

Li, Bohan and Hou, Yutai and Che, Wanxiang

ExpMRC: explainability evaluation for machine reading comprehension

Heliyon, e09290, 2022.

Cui, Yiming and Liu, Ting and Che, Wanxiang and Chen, Zhigang and Wang, Shijin

ExpMRC: explainability evaluation for machine reading comprehension

Heliyon, e09290, 2022.

Cui, Yiming and Liu, Ting and Che, Wanxiang and Chen, Zhigang and Wang, Shijin

FewJoint: few-shot learning for joint dialogue understanding

International Journal of Machine Learning and Cybernetics, 1--15, 2022.

Hou, Yutai and Wang, Xinghao and Chen, Cheng and Li, Bohan and Che, Wanxiang and Chen, Zhigang

FewJoint: few-shot learning for joint dialogue understanding

International Journal of Machine Learning and Cybernetics, 1--15, 2022.

Hou, Yutai and Wang, Xinghao and Chen, Cheng and Li, Bohan and Che, Wanxiang and Chen, Zhigang

GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2677--2686, 2022

Qin, Libo and Chen, Qiguang and Xie, Tianbao and Li, Qixin and Lou, Jian-Guang and Che, Wanxiang and Kan, Min-Yen

GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2677--2686, 2022

Qin, Libo and Chen, Qiguang and Xie, Tianbao and Li, Qixin and Lou, Jian-Guang and Che, Wanxiang and Kan, Min-Yen

Graph-Grounded Goal Planning for Conversational Recommendation

IEEE Transactions on Knowledge and Data Engineering, 2022.

Liu, Zeming and Zhou, Ding and Liu, Hao and Wang, Haifeng and Niu, Zheng-Yu and Wu, Hua and Che, Wanxiang and Liu, Ting and Xiong, Hui

Graph-Grounded Goal Planning for Conversational Recommendation

IEEE Transactions on Knowledge and Data Engineering, 2022.

Liu, Zeming and Zhou, Ding and Liu, Hao and Wang, Haifeng and Niu, Zheng-Yu and Wu, Hua and Che, Wanxiang and Liu, Ting and Xiong, Hui

Improving Pre-trained Language Models with Syntactic Dependency Prediction Task for Chinese Semantic Error Recognition

ArXiv preprint, abs/2204.07464, 2022.

Sun, Bo and Wang, Baoxin and Che, Wanxiang and Wu, Dayong and Chen, Zhigang and Liu, Ting

Improving Pre-trained Language Models with Syntactic Dependency Prediction Task for Chinese Semantic Error Recognition

ArXiv preprint, abs/2204.07464, 2022.

Sun, Bo and Wang, Baoxin and Che, Wanxiang and Wu, Dayong and Chen, Zhigang and Liu, Ting

InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities

ArXiv preprint, abs/2202.04897, 2022.

Wang, Baoxin and Meng, Qingye and Wang, Ziyue and Wu, Dayong and Che, Wanxiang and Wang, Shijin and Chen, Zhigang and Liu, Cong

InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities

ArXiv preprint, abs/2202.04897, 2022.

Wang, Baoxin and Meng, Qingye and Wang, Ziyue and Wu, Dayong and Che, Wanxiang and Wang, Shijin and Chen, Zhigang and Liu, Cong

Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging

Findings of the Association for Computational Linguistics: ACL 2022, 637--647

Hou, Yutai and Chen, Cheng and Luo, Xianzhen and Li, Bohan and Che, Wanxiang

Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging

Findings of the Association for Computational Linguistics: ACL 2022, 637--647

Hou, Yutai and Chen, Cheng and Luo, Xianzhen and Li, Bohan and Che, Wanxiang

Learning-based Hybrid Local Search for the Hard-label Textual Attack

ArXiv preprint, abs/2201.08193, 2022.

Yu, Zhen and Wang, Xiaosen and Che, Wanxiang and He, Kun

Learning-based Hybrid Local Search for the Hard-label Textual Attack

ArXiv preprint, abs/2201.08193, 2022.

Yu, Zhen and Wang, Xiaosen and Che, Wanxiang and He, Kun

MetaPrompting: Learning to Learn Better Prompts

Proceedings of the 29th International Conference on Computational Linguistics, 3251--3262, 2022.

Hou, Yutai and Dong, Hongyuan and Wang, Xinghao and Li, Bohan and Che, Wanxiang

MetaPrompting: Learning to Learn Better Prompts

Proceedings of the 29th International Conference on Computational Linguistics, 3251--3262, 2022.

Hou, Yutai and Dong, Hongyuan and Wang, Xinghao and Li, Bohan and Che, Wanxiang

Multilingual multi-aspect explainability analyses on machine reading comprehension models

Iscience, 104176, 2022.

Cui, Yiming and Zhang, Wei-Nan and Che, Wanxiang and Liu, Ting and Chen, Zhigang and Wang, Shijin

Multilingual multi-aspect explainability analyses on machine reading comprehension models

Iscience, 104176, 2022.

Cui, Yiming and Zhang, Wei-Nan and Che, Wanxiang and Liu, Ting and Chen, Zhigang and Wang, Shijin

Overview of CTC 2021: Chinese Text Correction for Native Speakers

ArXiv preprint, abs/2208.05681, 2022.

Zhao, Honghong and Wang, Baoxin and Wu, Dayong and Che, Wanxiang and Chen, Zhigang and Wang, Shijin

Overview of CTC 2021: Chinese Text Correction for Native Speakers

ArXiv preprint, abs/2208.05681, 2022.

Zhao, Honghong and Wang, Baoxin and Wu, Dayong and Che, Wanxiang and Chen, Zhigang and Wang, Shijin

Simple and Effective Graph-to-Graph Annotation Conversion

Proceedings of the 29th International Conference on Computational Linguistics, 5450--5460, 2022.

Wang, Yuxuan and Lei, Zhilin and Ji, Yuqiu and Che, Wanxiang

Simple and Effective Graph-to-Graph Annotation Conversion

Proceedings of the 29th International Conference on Computational Linguistics, 5450--5460, 2022.

Wang, Yuxuan and Lei, Zhilin and Ji, Yuqiu and Che, Wanxiang

Teaching machines to read, answer and explain

IEEE/ACM Transactions on Audio, Speech, and Language Processing, 1483--1492, 2022.

Cui, Yiming and Liu, Ting and Che, Wanxiang and Chen, Zhigang and Wang, Shijin

Teaching machines to read, answer and explain

IEEE/ACM Transactions on Audio, Speech, and Language Processing, 1483--1492, 2022.

Cui, Yiming and Liu, Ting and Che, Wanxiang and Chen, Zhigang and Wang, Shijin

Text Is No More Enough! A Benchmark for Profile-Based Spoken Language Understanding

Proceedings of the AAAI Conference on Artificial Intelligence, 11575--11585, 2022.

Xu, Xiao and Qin, Libo and Chen, Kaiji and Wu, Guoxing and Li, Linlin and Che, Wanxiang

Text Is No More Enough! A Benchmark for Profile-Based Spoken Language Understanding

Proceedings of the AAAI Conference on Artificial Intelligence, 11575--11585, 2022.

Xu, Xiao and Qin, Libo and Chen, Kaiji and Wu, Guoxing and Li, Linlin and Che, Wanxiang

UniSAr: A Unified Structure-Aware Autoregressive Language Model for Text-to-SQL

ArXiv preprint, abs/2203.07781, 2022.

Dou, Longxu and Gao, Yan and Pan, Mingyang and Wang, Dingzirui and Lou, Jian-Guang and Che, Wanxiang and Zhan, Dechen

UniSAr: A Unified Structure-Aware Autoregressive Language Model for Text-to-SQL

ArXiv preprint, abs/2203.07781, 2022.

Dou, Longxu and Gao, Yan and Pan, Mingyang and Wang, Dingzirui and Lou, Jian-Guang and Che, Wanxiang and Zhan, Dechen