How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019

19 September 2019

Dongyan Zhao

Rui Yan

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Papers citing "How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing"

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RELexED: Retrieval-Enhanced Legal Summarization with Exemplar DiversityNorth American Chapter of the Association for Computational Linguistics (NAACL), 2025 T. Y. S. S. Santosh Chen Jia Patrick Goroncy Matthias Grabmair AILaw 189 3 0 23 Jan 2025
Rethinking Scientific Summarization Evaluation: Grounding Explainable Metrics on Facet-aware Benchmark Preslav Nakov Tairan Wang Qingqing Zhu Taicheng Guo Shen Gao Zhiyong Lu Xin Gao Xiangliang Zhang 351 3 0 22 Feb 2024
A Topic-aware Summarization Framework with Different Modal Side InformationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 Preslav Nakov Mingzhe Li Shen Gao Xin Cheng Qiang Yang Qishen Zhang Xin Gao Xiangliang Zhang 263 17 0 19 May 2023
Follow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Order Preslav Nakov Li Mingzhe Shen Gao Zhangming Chan Dongyan Zhao Xin Gao Xiangliang Zhang Rui Yan 693 5 0 02 Jan 2023
Scientific Paper Extractive Summarization Enhanced by Citation GraphsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Preslav Nakov Mingzhe Li Shen Gao Rui Yan Xin Gao Xiangliang Zhang 151 13 0 08 Dec 2022
POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex EventsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Sai Vallurupalli Sayontan Ghosh K. Erk Niranjan Balasubramanian Francis Ferraro 118 5 0 05 Dec 2022
Towards Improving Faithfulness in Abstractive SummarizationNeural Information Processing Systems (NeurIPS), 2022 Preslav Nakov Mingzhe Li Xin Gao Xiangliang Zhang HILM 176 33 0 04 Oct 2022
Towards Neural Numeric-To-Text Generation From Temporal Personal Health Data Jon Harris Mohammed J Zaki AI4TS 162 2 0 11 Jul 2022
Target-aware Abstractive Related Work Generation with Contrastive LearningAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022 Preslav Nakov Hind Alamro Li Mingzhe Shen Gao Rui Yan Xin Gao Xiangliang Zhang 3DV 319 31 0 26 May 2022
HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph ModelingWeb Search and Data Mining (WSDM), 2021 Shen Gao Yuchi Zhang Yongliang Wang Yang Dong Preslav Nakov Dongyan Zhao Rui Yan 159 10 0 27 Dec 2021
CNewSum: A Large-scale Chinese News Summarization Dataset with Human-annotated Adequacy and Deducibility Level Danqing Wang Jiaze Chen Xianze Wu Hao Zhou Lei Li ELM 229 10 0 21 Oct 2021
RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization Chen An Ming Zhong Zhichao Geng Jianqiang Yang Xipeng Qiu RALM 177 26 0 16 Sep 2021
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive SummarizationFindings (Findings), 2021 Markus Dreyer Mengwen Liu Feng Nan Sandeep Atluri Sujith Ravi HILM 155 18 0 05 Aug 2021
Automatic Document Sketching: Generating Drafts from Analogous TextsFindings (Findings), 2021 Zeqiu Wu Michel Galley Chris Brockett Yizhe Zhang Bill Dolan 177 6 0 14 Jun 2021
The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via DisentanglementAAAI Conference on Artificial Intelligence (AAAI), 2020 Li Mingzhe Preslav Nakov Min Yang Shen Gao Dongyan Zhao Rui Yan 194 20 0 14 Dec 2020
FFCI: A Framework for Interpretable Automatic Evaluation of SummarizationJournal of Artificial Intelligence Research (JAIR), 2020 Fajri Koto Timothy Baldwin Jey Han Lau HILM 207 40 0 27 Nov 2020
Meaningful Answer Generation of E-Commerce Question-Answering Shen Gao Preslav Nakov Zhaochun Ren Dongyan Zhao Rui Yan 189 48 0 14 Nov 2020
Learning to Respond with Your Favorite Stickers: A Framework of Unifying Multi-Modality and User Preference in Multi-Turn Dialog Shen Gao Preslav Nakov Li Liu Dongyan Zhao Rui Yan 184 17 0 05 Nov 2020
VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles Li Mingzhe Preslav Nakov Shen Gao Zhangming Chan Dongyan Zhao Rui Yan 198 87 0 12 Oct 2020
From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information Shen Gao Preslav Nakov Zhaochun Ren Dongyan Zhao Rui Yan 156 47 0 10 May 2020
Learning to Respond with Stickers: A Framework of Unifying Multi-Modality in Multi-Turn DialogThe Web Conference (WWW), 2020 Shen Gao Preslav Nakov Chang Liu Li Liu Dongyan Zhao Rui Yan 174 39 0 10 Mar 2020