| MSMO: Multimodal Summarization with Multimodal Output J Zhu, H Li, T Liu, Y Zhou, J Zhang, C Zong EMNLP 2018, 4154-4164, 2018 | 154 | 2018 |
| Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization H Li, J Zhu, J Zhang, C Zong COLING 2018, 1430-1441, 2018 | 114 | 2018 |
| Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video H Li, J Zhu, C Ma, J Zhang, C Zong EMNLP 2017, 1092-1102, 2017 | 94 | 2017 |
| Self-Attention Guided Copy Mechanism for Abstractive Summarization S Xu, H Li, P Yuan, Y Wu, X He, B Zhou ACL 2020, 1355–1362, 2020 | 90 | 2020 |
| Multimodal Summarization with Guidance of Multimodal Reference J Zhu, Y Zhou, J Zhang, H Li, C Zong, C Li AAAI 2020, 9749-9756, 2020 | 87 | 2020 |
| Multi-modal Sentence Summarization with Modality Attention and Image Filtering H Li, J Zhu, T Liu, J Zhang, C Zong IJCAI 2018, 4152-4158, 2018 | 86 | 2018 |
| Keywords-Guided Abstractive Sentence Summarization H Li, J Zhu, J Zhang, C Zong, X He AAAI 2020, 8196-8203, 2020 | 77 | 2020 |
| Read, Watch, Listen, and Summarize: Multi-Modal Summarization for Asynchronous Text, Image, Audio and Video H Li, J Zhu, C Ma, J Zhang, C Zong IEEE TKDE 2018 31 (5), 996-1009, 2018 | 76 | 2018 |
| Aspect-Aware Multimodal Summarization for Chinese E-Commerce Products H Li, P Yuan, S Xu, Y Wu, X He, B Zhou AAAI 2020, 8188-8195, 2020 | 65 | 2020 |
| Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product T Zhu, Y Wang, H Li, Y Wu, X He, B Zhou EMNLP 2020, 2020 | 56 | 2020 |
| Attention With Sparsity Regularization for Neural Machine Translation and Summarization J Zhang, Y Zhao, H Li, C Zong IEEE/ACM TASLP 2018 27 (3), 507-518, 2018 | 41 | 2018 |
| Towards Personalized Review Summarization via User-Aware Sequence Network J Li, H Li, C Zong AAAI 2019, 6690-6697, 2019 | 37 | 2019 |
| Multimodal Sentence Summarization via Multimodal Selective Encoding H Li, J Zhu, J Zhang, X He, C Zong COLING 2020, 5655-5667, 2020 | 31 | 2020 |
| K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce S Xu, H Li, P Yuan, Y Wang, Y Wu, X He, Y Liu, B Zhou Findings of ACL: EMNLP 2021, 2021 | 21 | 2021 |
| Augmenting Neural Sentence Summarization Through Extractive Summarization J Zhu, L Zhou, H Li, J Zhang, Y Zhou, C Zong NLPCC 2017, 16-28, 2017 | 20 | 2017 |
| Implicit Discourse Relation Recognition for English and Chinese with Multiview Modeling and Effective Representation Learning H Li, J Zhang, C Zong ACM TALLIP 2017 16 (3), 1-21, 2017 | 19 | 2017 |
| A roadmap for big model S Yuan, H Zhao, S Zhao, J Leng, Y Liang, X Wang, J Yu, X Lv, Z Shao, ... arXiv preprint arXiv:2203.14101, 2022 | 17 | 2022 |
| An End-to-End Chinese Discourse Parser with Adaptation to Explicit and Non-explicit Relation Recognition X Kang, H Li, L Zhou, J Zhang, C Zong CoNLL 2016, 27-32, 2016 | 15 | 2016 |
| On the Faithfulness for E-commerce Product Summarization P Yuan, H Li, S Xu, Y Wu, X He, B Zhou COLING 2020, 5712-5717, 2020 | 12 | 2020 |
| Learn to Copy from the Copying History: Correlational Copy Network for Abstractive Summarization H Li, S Xu, P Yuan, Y Wang, Y Wu, X He, B Zhou EMNLP 2021, 4091-4101, 2021 | 10 | 2021 |
Chengqing Zong (宗成庆)Institute of Automation, Chinese Academy of SciencesDirección de correo verificada de nlpr.ia.ac.cn
