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On Extractive and Abstractive Neural Document Summarization with
  Transformer Language Models

On Extractive and Abstractive Neural Document Summarization with Transformer Language Models

7 September 2019
Sandeep Subramanian
Raymond Li
Jonathan Pilault
C. Pal
ArXivPDFHTML

Papers citing "On Extractive and Abstractive Neural Document Summarization with Transformer Language Models"

44 / 94 papers shown
Title
Automated scholarly paper review: Concepts, technologies, and challenges
Automated scholarly paper review: Concepts, technologies, and challenges
Jialiang Lin
Jiaxin Song
Zhangping Zhou
Yidong Chen
X. Shi
24
12
0
15 Nov 2021
Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues
  and Documents
Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents
Yusen Zhang
Ansong Ni
Ziming Mao
Chen Henry Wu
Chenguang Zhu
Budhaditya Deb
Ahmed Hassan Awadallah
Dragomir R. Radev
Rui Zhang
RALM
29
86
0
16 Oct 2021
Recursively Summarizing Books with Human Feedback
Recursively Summarizing Books with Human Feedback
Jeff Wu
Long Ouyang
Daniel M. Ziegler
Nissan Stiennon
Ryan J. Lowe
Jan Leike
Paul Christiano
ALM
35
294
0
22 Sep 2021
MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News
  Summarization
MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization
Xinnuo Xu
Ondrej Dusek
Shashi Narayan
Verena Rieser
Ioannis Konstas
HILM
28
6
0
22 Sep 2021
Enriching and Controlling Global Semantics for Text Summarization
Enriching and Controlling Global Semantics for Text Summarization
Thong Nguyen
A. Luu
Truc Lu
Tho Quan
35
34
0
22 Sep 2021
Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization
Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization
Junpeng Liu
Yanyan Zou
Hainan Zhang
Hongshen Chen
Zhuoye Ding
Caixia Yuan
Xiaojie Wang
6
65
0
10 Sep 2021
Nowcasting-Nets: Deep Neural Network Structures for Precipitation
  Nowcasting Using IMERG
Nowcasting-Nets: Deep Neural Network Structures for Precipitation Nowcasting Using IMERG
M. Ehsani
Ariyan Zarei
H. Gupta
Kobus Barnard
A. Behrangi
AI4Cl
6
30
0
16 Aug 2021
MemSum: Extractive Summarization of Long Documents Using Multi-Step
  Episodic Markov Decision Processes
MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes
Nianlong Gu
Elliott Ash
Richard H. R. Hahnloser
RALM
26
33
0
19 Jul 2021
A Condense-then-Select Strategy for Text Summarization
A Condense-then-Select Strategy for Text Summarization
Hou Pong Chan
Irwin King
17
13
0
19 Jun 2021
Neural Abstractive Unsupervised Summarization of Online News Discussions
Neural Abstractive Unsupervised Summarization of Online News Discussions
Ignacio Tampe Palma
Marcelo Mendoza
E. Milios
8
6
0
07 Jun 2021
Bringing Structure into Summaries: a Faceted Summarization Dataset for
  Long Scientific Documents
Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents
Rui Meng
Khushboo Thaker
Lei Zhang
Yue Dong
Xingdi Yuan
Tong Wang
Daqing He
11
41
0
31 May 2021
BASS: Boosting Abstractive Summarization with Unified Semantic Graph
BASS: Boosting Abstractive Summarization with Unified Semantic Graph
Wenhao Wu
Wei Li
Xinyan Xiao
Jiachen Liu
Ziqiang Cao
Sujian Li
Hua-Hong Wu
Haifeng Wang
36
45
0
25 May 2021
EASE: Extractive-Abstractive Summarization with Explanations
EASE: Extractive-Abstractive Summarization with Explanations
Haoran Li
Arash Einolghozati
Srini Iyer
Bhargavi Paranjape
Yashar Mehdad
Sonal Gupta
Marjan Ghazvininejad
23
9
0
14 May 2021
DialogSum: A Real-Life Scenario Dialogue Summarization Dataset
DialogSum: A Real-Life Scenario Dialogue Summarization Dataset
Yulong Chen
Yang Liu
Liang Chen
Yue Zhang
33
220
0
14 May 2021
Poolingformer: Long Document Modeling with Pooling Attention
Poolingformer: Long Document Modeling with Pooling Attention
Hang Zhang
Yeyun Gong
Yelong Shen
Weisheng Li
Jiancheng Lv
Nan Duan
Weizhu Chen
37
98
0
10 May 2021
Long-Span Summarization via Local Attention and Content Selection
Long-Span Summarization via Local Attention and Content Selection
Potsawee Manakul
Mark J. F. Gales
13
42
0
08 May 2021
Generating Related Work
Generating Related Work
Darsh J. Shah
Regina Barzilay
30
3
0
18 Apr 2021
Efficient Attentions for Long Document Summarization
Efficient Attentions for Long Document Summarization
L. Huang
Shuyang Cao
Nikolaus Nova Parulian
Heng Ji
Lu Wang
56
272
0
05 Apr 2021
Long Document Summarization in a Low Resource Setting using Pretrained
  Language Models
Long Document Summarization in a Low Resource Setting using Pretrained Language Models
Ahsaas Bajaj
Pavitra Dangati
Kalpesh Krishna
Pradhiksha Ashok Kumar
Rheeya Uppaal
Bradford T. Windsor
Eliot Brenner
Dominic Dotterrer
Rajarshi Das
Andrew McCallum
AILaw
RALM
29
50
0
01 Mar 2021
Can We Automate Scientific Reviewing?
Can We Automate Scientific Reviewing?
Weizhe Yuan
Pengfei Liu
Graham Neubig
83
83
0
30 Jan 2021
Summaformers @ LaySumm 20, LongSumm 20
Summaformers @ LaySumm 20, LongSumm 20
Sayar Ghosh Roy
Nikhil Pinnaparaju
Risubh Jain
Manish Gupta
Vasudeva Varma
19
14
0
10 Jan 2021
FFCI: A Framework for Interpretable Automatic Evaluation of
  Summarization
FFCI: A Framework for Interpretable Automatic Evaluation of Summarization
Fajri Koto
Timothy Baldwin
Jey Han Lau
HILM
32
37
0
27 Nov 2020
Learning to Summarize Long Texts with Memory Compression and Transfer
Learning to Summarize Long Texts with Memory Compression and Transfer
Jaehong Park
Jonathan Pilault
C. Pal
28
0
0
21 Oct 2020
Dimsum @LaySumm 20: BART-based Approach for Scientific Document
  Summarization
Dimsum @LaySumm 20: BART-based Approach for Scientific Document Summarization
Tiezheng Yu
Dan Su
Wenliang Dai
Pascale Fung
24
5
0
19 Oct 2020
Pretrained Transformers for Text Ranking: BERT and Beyond
Pretrained Transformers for Text Ranking: BERT and Beyond
Jimmy J. Lin
Rodrigo Nogueira
Andrew Yates
VLM
239
611
0
13 Oct 2020
Sparsifying Transformer Models with Trainable Representation Pooling
Sparsifying Transformer Models with Trainable Representation Pooling
Michal Pietruszka
Łukasz Borchmann
Lukasz Garncarek
17
10
0
10 Sep 2020
Neural Language Generation: Formulation, Methods, and Evaluation
Neural Language Generation: Formulation, Methods, and Evaluation
Cristina Garbacea
Qiaozhu Mei
45
30
0
31 Jul 2020
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
285
2,015
0
28 Jul 2020
Abstractive and mixed summarization for long-single documents
Abstractive and mixed summarization for long-single documents
Roger Barrull
Jugal Kalita
18
0
0
03 Jul 2020
SEAL: Segment-wise Extractive-Abstractive Long-form Text Summarization
SEAL: Segment-wise Extractive-Abstractive Long-form Text Summarization
Yao-Min Zhao
Mohammad Saleh
Peter J. Liu
RALM
26
25
0
18 Jun 2020
Combination of abstractive and extractive approaches for summarization
  of long scientific texts
Combination of abstractive and extractive approaches for summarization of long scientific texts
Vladislav Tretyak
Denis Stepanov
13
10
0
09 Jun 2020
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term
  Importance Estimation and Neural Query Rewriting
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting
Sheng-Chieh Lin
Jheng-Hong Yang
Rodrigo Nogueira
Ming-Feng Tsai
Chuan-Ju Wang
Jimmy J. Lin
14
24
0
05 May 2020
Generating SOAP Notes from Doctor-Patient Conversations Using Modular
  Summarization Techniques
Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques
Kundan Krishna
Sopan Khosla
Jeffrey P. Bigham
Zachary Chase Lipton
17
114
0
04 May 2020
Discourse-Aware Unsupervised Summarization of Long Scientific Documents
Discourse-Aware Unsupervised Summarization of Long Scientific Documents
Yue Dong
Andrei Mircea
Jackie C.K. Cheung
19
8
0
01 May 2020
Transform and Tell: Entity-Aware News Image Captioning
Transform and Tell: Entity-Aware News Image Captioning
Alasdair Tran
A. Mathews
Lexing Xie
VLM
12
95
0
17 Apr 2020
A Divide-and-Conquer Approach to the Summarization of Long Documents
A Divide-and-Conquer Approach to the Summarization of Long Documents
Alexios Gidiotis
Grigorios Tsoumakas
25
18
0
13 Apr 2020
Longformer: The Long-Document Transformer
Longformer: The Long-Document Transformer
Iz Beltagy
Matthew E. Peters
Arman Cohan
RALM
VLM
28
3,916
0
10 Apr 2020
Abstractive Text Summarization based on Language Model Conditioning and
  Locality Modeling
Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling
Dmitrii Aksenov
J. Moreno-Schneider
Peter Bourgonje
Robert Schwarzenberg
Leonhard Hennig
Georg Rehm
24
25
0
29 Mar 2020
Explaining Relationships Between Scientific Documents
Explaining Relationships Between Scientific Documents
Kelvin Luu
Xinyi Wu
Rik Koncel-Kedziorski
Kyle Lo
Isabel Cachola
Noah A. Smith
41
48
0
02 Feb 2020
Deep Reinforced Self-Attention Masks for Abstractive Summarization
  (DR.SAS)
Deep Reinforced Self-Attention Masks for Abstractive Summarization (DR.SAS)
Ankit R. Chadha
Mohamed Masoud
AI4TS
20
0
0
30 Dec 2019
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive
  Summarization
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Jingqing Zhang
Yao-Min Zhao
Mohammad Saleh
Peter J. Liu
RALM
3DGS
43
2,012
0
18 Dec 2019
Retrieval-based Goal-Oriented Dialogue Generation
Retrieval-based Goal-Oriented Dialogue Generation
Ana Valeria González
Isabelle Augenstein
Anders Søgaard
3DV
6
3
0
30 Sep 2019
SummaRuNNer: A Recurrent Neural Network based Sequence Model for
  Extractive Summarization of Documents
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
Ramesh Nallapati
Feifei Zhai
Bowen Zhou
207
1,255
0
14 Nov 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,926
0
17 Aug 2015
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