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Get To The Point: Summarization with Pointer-Generator Networks
v1v2 (latest)

Get To The Point: Summarization with Pointer-Generator Networks

14 April 2017
A. See
Peter J. Liu
Christopher D. Manning
    3DPC
ArXiv (abs)PDFHTML

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

50 / 1,795 papers shown
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Cross Copy Network for Dialogue Generation
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Xiaoxia Zhou
Yating Zhang
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Tiejun Zhao
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Learning to Summarize Long Texts with Memory Compression and Transfer
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Jonathan Pilault
C. Pal
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Multi-Domain Dialogue State Tracking based on State Graph
Multi-Domain Dialogue State Tracking based on State Graph
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J. Nie
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Controllable Text Simplification with Explicit Paraphrasing
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Fernando Alva-Manchego
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103
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PARENTing via Model-Agnostic Reinforcement Learning to Correct
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Laure Soulier
Geoffrey Scoutheeten
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61
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SeqTrans: Automatic Vulnerability Fix via Sequence to Sequence Learning
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YunHuan Qu
Ting Liu
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Heng Yin
91
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ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models
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Yeyun Gong
Yu Yan
Jian Jiao
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Better Highlighting: Creating Sub-Sentence Summary Highlights
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Topic-Guided Abstractive Text Summarization: a Joint Learning Approach
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Kunpeng Zhang
Harry J. Wang
Ling Fan
Zhe Wang
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Bi-directional Cognitive Thinking Network for Machine Reading
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137
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Kevin Small
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Knowledge Graph-based Question Answering with Electronic Health Records
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Youngwoo Cho
Haneol Lee
Jaegul Choo
Edward Choi
95
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Dimsum @LaySumm 20: BART-based Approach for Scientific Document
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120
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MAST: Multimodal Abstractive Summarization with Trimodal Hierarchical
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GSum: A General Framework for Guided Neural Abstractive Summarization
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Understanding Neural Abstractive Summarization Models via Uncertainty
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Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised
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