Get To The Point: Summarization with Pointer-Generator Networks

14 April 2017

A. See

Peter J. Liu

Christopher D. Manning

3DPC

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Papers citing "Get To The Point: Summarization with Pointer-Generator Networks"

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Opening up Minds with Argumentative Dialogues Youmna Farag C. Brand Jacopo Amidei P. Piwek Tom Stafford Svetlana Stoyanchev Andreas Vlachos AI4CE 15 5 0 16 Jan 2023
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Combining State-of-the-Art Models with Maximal Marginal Relevance for Few-Shot and Zero-Shot Multi-Document Summarization David Adams Gandharv Suri Yllias Chali VLM 24 3 0 19 Nov 2022
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Universal Evasion Attacks on Summarization Scoring Wenchuan Mu Kwan Hui Lim AAML 30 1 0 25 Oct 2022
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Towards Summary Candidates Fusion Mathieu Ravaut Shafiq R. Joty Nancy F. Chen 24 14 0 17 Oct 2022
Self-Repetition in Abstractive Neural Summarizers Nikita Salkar T. Trikalinos Byron C. Wallace A. Nenkova 10 10 0 14 Oct 2022
Towards a Unified Multi-Dimensional Evaluator for Text Generation Ming Zhong Yang Liu Da Yin Yuning Mao Yizhu Jiao Peng Liu Chenguang Zhu Heng Ji Jiawei Han ELM 39 253 0 13 Oct 2022
DATScore: Evaluating Translation with Data Augmented Translations Moussa Kamal Eddine Guokan Shang Michalis Vazirgiannis 38 5 0 12 Oct 2022
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