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
A Call for Clarity in Beam Search: How It Works and When It Stops Jungo Kasai Keisuke Sakaguchi Ronan Le Bras Dragomir R. Radev Yejin Choi Noah A. Smith 26 6 0 11 Apr 2022
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CAISE: Conversational Agent for Image Search and Editing Hyounghun Kim Doo Soon Kim Seunghyun Yoon Franck Dernoncourt Trung Bui Mohit Bansal 19 6 0 24 Feb 2022
Learning Cluster Patterns for Abstractive Summarization Sung-Guk Jo Jeong-Jae Kim Byung-Won On 19 3 0 22 Feb 2022
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A Survey on Artificial Intelligence for Source Code: A Dialogue Systems Perspective Erfan Al-Hossami Samira Shaikh 26 6 0 10 Feb 2022
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What Makes the Story Forward? Inferring Commonsense Explanations as Prompts for Future Event Generation Li Lin Yixin Cao Lifu Huang Shuang Li Xuming Hu Lijie Wen Jianmin Wang AI4TS 32 17 0 18 Jan 2022
Assemble Foundation Models for Automatic Code Summarization Jian Gu P. Salza H. Gall 28 34 0 13 Jan 2022
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Measuring Attribution in Natural Language Generation Models Hannah Rashkin Vitaly Nikolaev Matthew Lamm Lora Aroyo Michael Collins Dipanjan Das Slav Petrov Gaurav Singh Tomar Iulia Turc David Reitter 25 172 0 23 Dec 2021
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Action based Network for Conversation Question Reformulation Zheyu Ye Jiang Liu Qian Yu Jianxun Ju 14 0 0 29 Nov 2021
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