Publications

  • CoLV: A Collaborative Latent Variable Model for Knowledge-Grounded Dialogue Generation
    Haolan Zhan, Lei Shen, Hongshen Chen and Hainan Zhang
    EMNLP 2021

  • Adaptive Bridge between Training and Inference for Dialogue Generation
    Haoran Xu, Hainan Zhang, Yanyan Zou, Hongshen Chen, Zhuoye Ding and Yanyan Lan
    EMNLP 2021

  • Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization
    Junpeng Liu, Yanyan Zou, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Caixia Yuan and Xiaojie Wang
    EMNLP 2021 findings

  • 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 and Yanyan Lan
    EMNLP 2021 findings

  • Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization
    Lei Shen, Haolan Zhan, Xin Shen, Hongshen Chen, Xiaofang Zhao and Xiaodan Zhu
    CIKM 2021

  • Improving Sequential Recommendation Consistency with Self-Supervised Imitation.
    Xu Yuan, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Zhuoye Ding, Zhen He, Zhuoye Ding and Bo Long
    IJCAI 2021

  • Augmenting Knowledge-grounded Dialog Generation with Sequential Knowledge Transition.
    Haolan Zhan, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Yongjun Bao and Yanyan Lan
    NAACL 2021

  • Collaborative Group Learning.
    Shaoxiong Feng, Hongshen Chen, Xuancheng Ren, Zhuoye Ding, Kan Li and Xu Sun
    AAAI 2021
    pdf
    motivation

  • Probing Product Description Generation via Posterior Distillation.
    Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Zhuoye Ding, Yongjun Bao, Weipeng Yan and Yanyan Lan
    AAAI 2021
    pdf
    motivation

  • Multi-resolution Interactive Empathetic Dialogue Generation.
    Qintong Li, Hongshen Chen, Zhaochun Ren, Pengjie Ren, Zhaopeng Tu and Zhumin Chen
    Coling 2020
    pdf

  • Group-wise Contrastive Learning for Neural Dialogue Generation.
    Hengyi Cai, Hongshen Chen, Yonghao Song, Zhuoye Ding, Yongjun Bao, Weipeng Yan and Xiaofang Zhao
    EMNLP 2020
    pdf
    code

  • Regularizing Dialogue Generation by Imitating Implicit Scenarios.
    Shaoxiong Feng, Xuancheng Ren, Hongshen Chen, Bin Sun, Kan Li and Xu Sun
    EMNLP 2020
    pdf

  • User-Inspired Posterior Network for Recommendation Reason Generation.
    Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Yanyan Lan, Zhuoye Ding and Dawei Yin.
    In Proceedings of the 43rd Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020)
    motivation
    pdf

  • Modeling Topical Relevance for Multi-Turn Dialogue Generation
    Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin.
    In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020)
    pdf

  • Exemplar Guided Neural Dialogue Generation.
    Hengyi Cai, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Dawei Yin.
    In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020)
    motivation
    pdf

  • 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
    In Proceedings of the 58th Annual Conference of the Association for Computational Linguistics(ACL 2020), Seattle, Washington.
    motivation
    pdf

  • 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.
    In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA.
    motivation
    pdf

  • Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network.
    Shaoxiong Feng, Hongshen Chen, Kan Li, Dawei Yin.
    In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA.
    motivation
    pdf

  • Adaptive Parameterization for Neural Dialogue Generation.
    Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao and Dawei Yin.
    In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), Hong Kong, China, Nov. 2019.
    motivation
    pdf
    bibtex
    code

  • A Dynamic Product-aware Learning Model for E-commerce Query Intent Understanding.
    Jiashu Zhao, Hongshen Chen and Dawei Yin.
    In Proceedings of the 28th ACM Conference on Information and Knowledge Management (CIKM 2019), Beijing, China, Oct. 2019.
    motivation
    pdf
    bibtex

  • Fine-Grained Product Categorization in E-commerce.
    Hongshen Chen, Jiashu Zhao and Dawei Yin.
    In Proceedings of the 28th ACM Conference on Information and Knowledge Management (CIKM 2019), Beijing, China, Oct. 2019.
    motivation
    pdf
    bibtex

  • Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation.
    Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Eric Zhao, Dawei Yin.
    In Proceedings of the 27th ACM Conference on Information and Knowledge Management (CIKM 2018), Turin, Italy, Oct. 2018.
    pdf
    bibtex

  • Knowledge Diffusion for Neural Dialogue Generation.
    Liu Shuman, Hongshen Chen, Zhaochun Ren, Yang Feng, Qun Liu and Dawei Yin.
    ACL 2018, Melbourne, Australia, 2018.
    pdf
    bibtex
    corpus

  • Learning Tag Dependencies for Sequence Tagging.
    Yuan Zhang, Hongshen Chen, Yihong Eric Zhao, Qun Liu, Dawei Yin.
    IJCAI, 2018.
    pdf
    bibtex

  • Hierarchical Variational Memory Network for Dialogue Generation.
    Hongshen Chen, Zhaochun Ren, Jiliang Tang, Yihong Eric Zhao and Dawei Yin.
    WWW,2018.
    pdf
    bibtex
    code&corpus

  • A Survey on Dialogue Systems: Recent Advances and New Frontiers.
    Hongshen Chen, Xiaorui Liu, Dawei Yin and Jiliang Tang.
    SIGKDD Explorations, 2018.
    pdf
    bibtex

  • Learning dependency edge transfer rule representation using encoder-decoder (in Chinese).
    Hongshen Chen, Qun Liu.
    Scientia Sinica Informationis, 2017.

  • Neural Network for Heterogeneous Annotations.
    Hongshen Chen, Yue Zhang, Qun Liu.
    EMNLP, 2016.
    pdf
    bibtex
    code&corpus

  • A Dependency Edge Transfer Translation Rule Generator.
    Hongshen Chen, Qun Liu.
    CCL, 2016.

  • A Dependency Edge-based Transfer Model for Statistical Machine Translation.
    Hongshen Chen, Jun Xie, Fandong Meng, Weibin Jiang, Qun Liu.
    COLING, 2014.
    pdf
    bibtex