Hongshen Chen

According to our database, Hongshen Chen authored at least 40 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Debiasing Counterfactual Context With Causal Inference for Multi-Turn Dialogue Reasoning.

Xu Wang, Hainan Zhang, Shuai Zhao, Hongshen Chen, Zhuoye Ding, Zhiguo Wan, Bo Cheng, Yanyan Lan

IEEE ACM Trans. Audio Speech Lang. Process., 2024

2023

HiBERT: Detecting the illogical patterns with hierarchical BERT for multi-turn dialogue reasoning.

Xu Wang, Hainan Zhang, Shuai Zhao, Hongshen Chen, Bo Cheng, Zhuoye Ding, Sulong Xu, Weipeng Yan, Yanyan Lan

Neurocomputing, March, 2023

Embracing Uncertainty: Adaptive Vague Preference Policy Learning for Multi-round Conversational Recommendation.

Gangyi Zhang, Chongming Gao, Wenqiang Lei, Xiaojie Guo, Shijun Li, Lingfei Wu, Hongshen Chen, Zhuozhi Ding, Sulong Xu, Xiangnan He

CoRR, 2023

Contrastive Learning with Dialogue Attributes for Neural Dialogue Generation.

Jie Tan, Hengyi Cai, Hongshen Chen, Hong Cheng, Helen Meng, Zhuoye Ding

Proceedings of the IEEE International Conference on Acoustics, 2023

Automatic Marketing Theme and Commodity Construction System for E-commerce.

Zhiping Wang, Peng Lin, Hainan Zhang, Hongshen Chen, Tianhao Li, Zhuoye Ding, Sulong Xu, Jinghe Hu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Answering Ambiguous Questions via Iterative Prompting.

Weiwei Sun, Hengyi Cai, Hongshen Chen, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

From spoken dialogue to formal summary: An utterance rewriting for dialogue summarization.

Yue Fang, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Bo Long, Yanyan Lan, Yanquan Zhou

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

Adaptive Bridge between Training and Inference for Dialogue.

Haoran Xu, Hainan Zhang, Yanyan Zou, Hongshen Chen, Zhuoye Ding, Yanyan Lan

CoRR, 2021

Improving Sequential Recommendation Consistency with Self-Supervised Imitation.

Xu Yuan, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Zhuoye Ding, Zhen He, Bo Long

CoRR, 2021

Augmenting Knowledge-grounded Conversations with Sequential Knowledge Transition.

Haolan Zhan, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Yongjun Bao, Yanyan Lan

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Improving Sequential Recommendation Consistency with Self-Supervised Imitation.

Xu Yuan, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Zhuoye Ding

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

CoLV: A Collaborative Latent Variable Model for Knowledge-Grounded Dialogue Generation.

Haolan Zhan, Lei Shen, Hongshen Chen, Hainan Zhang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Adaptive Bridge between Training and Inference for Dialogue Generation.

Haoran Xu, Hainan Zhang, Yanyan Zou, Hongshen Chen, Zhuoye Ding, Yanyan Lan

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning.

Xu Wang, Hainan Zhang, Shuai Zhao, Yanyan Zou, Hongshen Chen, Zhuoye Ding, Bo Cheng, Yanyan Lan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization.

Junpeng Liu, Yanyan Zou, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Caixia Yuan, Xiaojie Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization.

Lei Shen, Haolan Zhan, Xin Shen, Hongshen Chen, Xiaofang Zhao, Xiaodan Zhu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Probing Product Description Generation via Posterior Distillation.

Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Yanyan Lan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Collaborative Group Learning.

Shaoxiong Feng, Hongshen Chen, Xuancheng Ren, Zhuoye Ding, Kan Li, Xu Sun

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

User-Inspired Posterior Network for Recommendation Reason Generation.

Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Yanyan Lan, Zhuoye Ding, Dawei Yin

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

AIIS: The SIGIR 2020 Workshop on Applied Interactive Information Systems.

Hongshen Chen, Zhaochun Ren, Pengjie Ren, Dawei Yin, Xiaodong He

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Modeling Topical Relevance for Multi-Turn Dialogue Generation.

Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Exemplar Guided Neural Dialogue Generation.

Hengyi Cai, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Dawei Yin

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Regularizing Dialogue Generation by Imitating Implicit Scenarios.

Shaoxiong Feng, Xuancheng Ren, Hongshen Chen, Bin Sun, Kan Li, Xu Sun

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Group-wise Contrastive Learning for Neural Dialogue Generation.

Hengyi Cai, Hongshen Chen, Yonghao Song, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Xiaofang Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation.

Qintong Li, Hongshen Chen, Zhaochun Ren, Pengjie Ren, Zhaopeng Tu, Zhumin Chen

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight.

Hengyi Cai, Hongshen Chen, Yonghao Song, Cheng Zhang, Xiaofang Zhao, Dawei Yin

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network.

Shaoxiong Feng, Hongshen Chen, Kan Li, Dawei Yin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation.

Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Yangxi Li, Dongsheng Duan, Dawei Yin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

EmpGAN: Multi-resolution Interactive Empathetic Dialogue Generation.

Qintong Li, Hongshen Chen, Zhaochun Ren, Zhumin Chen, Zhaopeng Tu, Jun Ma

CoRR, 2019

Adaptive Parameterization for Neural Dialogue Generation.

Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Dawei Yin

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Dynamic Product-aware Learning Model for E-commerce Query Intent Understanding.

Jiashu Zhao, Hongshen Chen, Dawei Yin

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Fine-Grained Product Categorization in E-commerce.

Hongshen Chen, Jiashu Zhao, Dawei Yin

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation.

Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin

CoRR, 2018

Hierarchical Variational Memory Network for Dialogue Generation.

Hongshen Chen, Zhaochun Ren, Jiliang Tang, Yihong Eric Zhao, Dawei Yin

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Learning Tag Dependencies for Sequence Tagging.

Yuan Zhang, Hongshen Chen, Yihong Zhao, Qun Liu, Dawei Yin

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation.

Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Knowledge Diffusion for Neural Dialogue Generation.

Shuman Liu, Hongshen Chen, Zhaochun Ren, Yang Feng, Qun Liu, Dawei Yin

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

A Survey on Dialogue Systems: Recent Advances and New Frontiers.

Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang

SIGKDD Explor., 2017

2016

Neural Network for Heterogeneous Annotations.

Hongshen Chen, Yue Zhang, Qun Liu

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2014

A Dependency Edge-based Transfer Model for Statistical Machine Translation.

Hongshen Chen, Jun Xie, Fandong Meng, Wenbin Jiang, Qun Liu

Proceedings of the COLING 2014, 2014