| ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation H Zhang, Y Lan, L Pang, J Guo, X Cheng ACL2019, 2019 | 72 | 2019 |
| Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation. H Zhang, Y Lan, J Guo, J Xu, X Cheng IJCAI, 4567-4573, 2018 | 54 | 2018 |
| Chinese named entity recognition based on deep neural network HN Zhang, DY Wu, Y Liu, XQ Cheng Chinese journal of information technology 31 (04), 28-35, 2017 | 17 | 2017 |
| Tailored sequence to sequence models to different conversation scenarios H Zhang, Y Lan, J Guo, J Xu, X Cheng Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 16 | 2018 |
| 基于深度神经网络的中文命名实体识别 张海楠， 伍大勇， 刘悦， 程学旗 中文信息学报 31 (4), 28-35, 2017 | 16 | 2017 |
| Modeling Topical Relevance for Multi-Turn Dialogue Generation H Zhang, Y Lan, L Pang, H Chen, Z Ding, D Yin IJCAI2020, 2020 | 15 | 2020 |
| Augmenting knowledge-grounded conversations with sequential knowledge transition H Zhan, H Zhang, H Chen, Z Ding, Y Bao, Y Lan Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 11 | 2021 |
| Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization J Liu, Y Zou, H Zhang, H Chen, Z Ding, C Yuan, X Wang EMNLP2021, 2021 | 10 | 2021 |
| User-inspired posterior network for recommendation reason generation H Zhan, H Zhang, H Chen, L Shen, Y Lan, Z Ding, D Yin Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 7 | 2020 |
| ICTNET at temporal summarization track TREC 2014 L Chen, H Zhang, S Li, Z Ji, Q Liu, Y Liu, D Wu, X Cheng CHINESE ACADEMY OF SCIENCES BEIJING INST OF COMPUTING TECHNOLOGY, 2014 | 5 | 2014 |
| Automatic Product Copywriting for E-Commerce X Zhang, Y Zou, H Zhang, J Zhou, S Diao, J Chen, Z Ding, Z He, X He, ... The Thirty-Sixth AAAI Conference on Artificial Intelligence., 2021 | 3 | 2021 |
| CoLV: A collaborative latent variable model for knowledge-grounded dialogue generation H Zhan, L Shen, H Chen, H Zhang Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 3 | 2021 |
| Probing Product Description Generation via Posterior Distillation H Zhan, H Zhang, H Chen, L Shen, Z Ding, Y Bao, W Yan, Y Lan AAAI2021, 2021 | 3 | 2021 |
| FCM: A Fine-grained Comparison Model forMulti-turn Dialogue Reasoning X Wang, H Zhang, S Zhao, Y Zou, H Chen, Z Ding, B Cheng, Y Lan EMNLP2021, 2021 | 2* | 2021 |
| Gbot at the NTCIR-13 STC-2 Task. H Zhang, T Guo, Y Lan, J Guo, J Li, X Cheng NTCIR, 2017 | 1 | 2017 |
| Adaptive Bridge between Training and Inference for Dialogue H Xu, H Zhang, Y Zou, H Chen, Z Ding, Y Lan EMNLP2021, 2021 | | 2021 |
| 基于拓展关键词信息的对话生成模型 程学旗郝长盈、兰艳艳、张海楠、郭嘉丰、徐君、 CCIR, 2018 | | 2018 |
| Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile H Zhang, Y Lan, J Guo, J Xu, X Cheng China Conference on Information Retrieval, 3-16, 2017 | | 2017 |
Yanyan LanTsinghua UniversityVerified email at tsinghua.edu.cn
