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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Title
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ALIGNMEET: A Comprehensive Tool for Meeting Annotation, Alignment, and Evaluation Peter Polák Muskaan Singh A. Nedoluzhko Ondrej Bojar 23 9 0 11 May 2022
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning Fei Wang Zhewei Xu Pedro A. Szekely Muhao Chen LMTD 25 47 0 08 May 2022
CORWA: A Citation-Oriented Related Work Annotation Dataset Xiangci Li Biswadip Mandal Jessica Ouyang 33 18 0 07 May 2022
PREME: Preference-based Meeting Exploration through an Interactive Questionnaire Negar Arabzadeh Ali Ahmadvand Julia Kiseleva Yang Liu Ahmed Hassan Awadallah Ming Zhong Milad Shokouhi 28 4 0 05 May 2022
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Learning to Transfer Prompts for Text Generation Junyi Li Tianyi Tang J. Nie Ji-Rong Wen Wayne Xin Zhao 24 40 0 03 May 2022
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Large-Scale Multi-Document Summarization with Information Extraction and Compression Ning Wang Han Liu Diego Klabjan 33 1 0 01 May 2022
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