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1602.06023
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Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond
19 February 2016
Ramesh Nallapati
Bowen Zhou
Cicero Nogueira dos Santos
Çağlar Gülçehre
Bing Xiang
AIMat
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Papers citing
"Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond"
50 / 1,163 papers shown
ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training
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13 Jan 2020
Deep Reinforced Self-Attention Masks for Abstractive Summarization (DR.SAS)
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30 Dec 2019
Explicit Sentence Compression for Neural Machine Translation
AAAI Conference on Artificial Intelligence (AAAI), 2019
Z. Li
Rui Wang
Kehai Chen
Masao Utiyama
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Zhuosheng Zhang
Hai Zhao
146
31
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27 Dec 2019
Improving Abstractive Text Summarization with History Aggregation
IEEE International Joint Conference on Neural Network (IJCNN), 2019
Pengcheng Liao
Chuang Zhang
Xiaojun Chen
Xiaofei Zhou
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147
10
0
24 Dec 2019
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
International Conference on Machine Learning (ICML), 2019
Jingqing Zhang
Yao-Min Zhao
Mohammad Saleh
Peter J. Liu
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18 Dec 2019
Generating summaries tailored to target characteristics
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Hrituraj Singh
Arijit Pramanik
Mithlesh Kumar
Balaji Vasan Srinivasan
115
0
0
18 Dec 2019
Quality of syntactic implication of RL-based sentence summarization
Communications in Computer and Information Science (CCIS), 2019
Hoa T. Le
Christophe Cerisara
Claire Gardent
84
1
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11 Dec 2019
MetaMT,a MetaLearning Method Leveraging Multiple Domain Data for Low Resource Machine Translation
AAAI Conference on Artificial Intelligence (AAAI), 2019
Rumeng Li
Xun Wang
Hong-ye Yu
149
41
0
11 Dec 2019
SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization
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Bogdan Gliwa
Iwona Mochol
M. Biesek
A. Wawer
497
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0
27 Nov 2019
Relevance-Promoting Language Model for Short-Text Conversation
AAAI Conference on Artificial Intelligence (AAAI), 2019
Xin Li
Piji Li
Wei Bi
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163
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26 Nov 2019
Controlling the Amount of Verbatim Copying in Abstractive Summarization
AAAI Conference on Artificial Intelligence (AAAI), 2019
Kaiqiang Song
Bingqing Wang
Z. Feng
Liu Ren
Fei Liu
143
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23 Nov 2019
Joint Parsing and Generation for Abstractive Summarization
AAAI Conference on Artificial Intelligence (AAAI), 2019
Kaiqiang Song
Logan Lebanoff
Qipeng Guo
Xipeng Qiu
Xiangyang Xue
Chen Li
Dong Yu
Fei Liu
166
29
0
23 Nov 2019
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering
AAAI Conference on Artificial Intelligence (AAAI), 2019
Yang Deng
Wai Lam
Yuexiang Xie
Daoyuan Chen
Yaliang Li
Min Yang
Ying Shen
176
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22 Nov 2019
Improved Document Modelling with a Neural Discourse Parser
Australasian Language Technology Association Workshop (ALTA), 2019
Fajri Koto
Jey Han Lau
Timothy Baldwin
103
4
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16 Nov 2019
Understanding Multi-Head Attention in Abstractive Summarization
Joris Baan
Maartje ter Hoeve
M. V. D. Wees
Anne Schuth
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130
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10 Nov 2019
Distilling Knowledge Learned in BERT for Text Generation
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Jingjing Liu
237
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Generalizing Natural Language Analysis through Span-relation Representations
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Wenyuan Xu
Jun Araki
Graham Neubig
255
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10 Nov 2019
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Albert Gatt
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125
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180
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Yuhao Zhang
Derek Merck
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Christopher D. Manning
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410
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06 Nov 2019
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289
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31 Oct 2019
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Hiroaki Hayashi
Yusuke Oda
Alexandra Birch
Ioannis Konstas
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Minh-Thang Luong
Graham Neubig
Katsuhito Sudoh
174
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29 Oct 2019
Contrastive Attention Mechanism for Abstractive Sentence Summarization
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Xiangyu Duan
Hongfei Yu
Mingming Yin
Min Zhang
Weihua Luo
Yue Zhang
154
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29 Oct 2019
Evaluating the Factual Consistency of Abstractive Text Summarization
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Wojciech Kry'sciñski
Bryan McCann
Caiming Xiong
R. Socher
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28 Oct 2019
Attention Optimization for Abstractive Document Summarization
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159
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Concept Pointer Network for Abstractive Summarization
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SummAE: Zero-Shot Abstractive Text Summarization using Length-Agnostic Auto-Encoders
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Abstractive Dialog Summarization with Semantic Scaffolds
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In Conclusion Not Repetition: Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes
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Summary Level Training of Sentence Rewriting for Abstractive Summarization
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