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Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive
  Strategies

Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies

30 April 2018
Max Grusky
Mor Naaman
Yoav Artzi
ArXivPDFHTML

Papers citing "Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies"

31 / 131 papers shown
Title
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural
  Summarization Systems
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems
Yiran Chen
Pengfei Liu
Ming Zhong
Zi-Yi Dou
Danqing Wang
Xipeng Qiu
Xuanjing Huang
ELM
25
24
0
11 Oct 2020
What Have We Achieved on Text Summarization?
What Have We Achieved on Text Summarization?
Dandan Huang
Leyang Cui
Sen Yang
Guangsheng Bao
Kun Wang
Jun Xie
Yue Zhang
29
109
0
09 Oct 2020
Corpora Evaluation and System Bias Detection in Multi-document
  Summarization
Corpora Evaluation and System Bias Detection in Multi-document Summarization
Alvin Dey
Tanya Chowdhury
Yash Kumar Atri
Tanmoy Chakraborty
20
8
0
05 Oct 2020
Global-aware Beam Search for Neural Abstractive Summarization
Global-aware Beam Search for Neural Abstractive Summarization
Ye Ma
Zixun Lan
Lu Zong
Kaizhu Huang
20
12
0
15 Sep 2020
SummEval: Re-evaluating Summarization Evaluation
SummEval: Re-evaluating Summarization Evaluation
Alexander R. Fabbri
Wojciech Kry'sciñski
Bryan McCann
Caiming Xiong
R. Socher
Dragomir R. Radev
HILM
38
689
0
24 Jul 2020
Dataset for Automatic Summarization of Russian News
Dataset for Automatic Summarization of Russian News
I. Gusev
19
24
0
19 Jun 2020
A Large-Scale Multi-Document Summarization Dataset from the Wikipedia
  Current Events Portal
A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal
D. Ghalandari
Chris Hokamp
N. Pham
John Glover
Georgiana Ifrim
18
107
0
20 May 2020
SueNes: A Weakly Supervised Approach to Evaluating Single-Document
  Summarization via Negative Sampling
SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling
F. S. Bao
Hebi Li
Ge Luo
Minghui Qiu
Yinfei Yang
Youbiao He
Cen Chen
16
4
0
13 May 2020
FEQA: A Question Answering Evaluation Framework for Faithfulness
  Assessment in Abstractive Summarization
FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization
Esin Durmus
He He
Mona T. Diab
HILM
6
384
0
07 May 2020
Artemis: A Novel Annotation Methodology for Indicative Single Document
  Summarization
Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization
Rahul Jha
Keping Bi
Yang Li
M. Pakdaman
Asli Celikyilmaz
Ivan Zhiboedov
Kieran McDonald
17
2
0
05 May 2020
Exploring Content Selection in Summarization of Novel Chapters
Exploring Content Selection in Summarization of Novel Chapters
Faisal Ladhak
Bryan Li
Yaser Al-Onaizan
Kathleen McKeown
63
35
0
04 May 2020
MLSUM: The Multilingual Summarization Corpus
MLSUM: The Multilingual Summarization Corpus
Thomas Scialom
Paul-Alexis Dray
Sylvain Lamprier
Benjamin Piwowarski
Jacopo Staiano
17
172
0
30 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
Query Focused Multi-Document Summarization with Distant Supervision
Query Focused Multi-Document Summarization with Distant Supervision
Yumo Xu
Mirella Lapata
RALM
13
12
0
06 Apr 2020
Two Huge Title and Keyword Generation Corpora of Research Articles
Two Huge Title and Keyword Generation Corpora of Research Articles
Erion cCano
Ondrej Bojar
20
16
0
11 Feb 2020
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
Evaluating the Factual Consistency of Abstractive Text Summarization
Evaluating the Factual Consistency of Abstractive Text Summarization
Wojciech Kry'sciñski
Bryan McCann
Caiming Xiong
R. Socher
HILM
16
727
0
28 Oct 2019
Keyphrase Generation: A Multi-Aspect Survey
Keyphrase Generation: A Multi-Aspect Survey
Erion Çano
Ondrej Bojar
19
21
0
11 Oct 2019
A Closer Look at Data Bias in Neural Extractive Summarization Models
A Closer Look at Data Bias in Neural Extractive Summarization Models
Ming Zhong
Danqing Wang
Pengfei Liu
Xipeng Qiu
Xuanjing Huang
40
42
0
30 Sep 2019
How to Write Summaries with Patterns? Learning towards Abstractive
  Summarization through Prototype Editing
How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing
Shen Gao
Xiuying Chen
Piji Li
Zhangming Chan
Dongyan Zhao
Rui Yan
18
30
0
19 Sep 2019
CTRL: A Conditional Transformer Language Model for Controllable
  Generation
CTRL: A Conditional Transformer Language Model for Controllable Generation
N. Keskar
Bryan McCann
L. Varshney
Caiming Xiong
R. Socher
AI4CE
55
1,233
0
11 Sep 2019
On Extractive and Abstractive Neural Document Summarization with
  Transformer Language Models
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
Sandeep Subramanian
Raymond Li
Jonathan Pilault
C. Pal
240
215
0
07 Sep 2019
Exploring Domain Shift in Extractive Text Summarization
Exploring Domain Shift in Extractive Text Summarization
Danqing Wang
Pengfei Liu
Ming Zhong
Jie Fu
Xipeng Qiu
Xuanjing Huang
19
36
0
30 Aug 2019
Neural Text Summarization: A Critical Evaluation
Neural Text Summarization: A Critical Evaluation
Wojciech Kry'sciñski
N. Keskar
Bryan McCann
Caiming Xiong
R. Socher
11
361
0
23 Aug 2019
What is this Article about? Extreme Summarization with Topic-aware
  Convolutional Neural Networks
What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks
Shashi Narayan
Shay B. Cohen
Mirella Lapata
AILaw
29
18
0
19 Jul 2019
Guiding Extractive Summarization with Question-Answering Rewards
Guiding Extractive Summarization with Question-Answering Rewards
Kristjan Arumae
Fei Liu
31
33
0
04 Apr 2019
Jointly Extracting and Compressing Documents with Summary State
  Representations
Jointly Extracting and Compressing Documents with Summary State Representations
Afonso Mendes
Shashi Narayan
Sebastião Miranda
Zita Marinho
André F. T. Martins
Shay B. Cohen
36
52
0
03 Apr 2019
Abstractive Summarization of Reddit Posts with Multi-level Memory
  Networks
Abstractive Summarization of Reddit Posts with Multi-level Memory Networks
Byeongchang Kim
Hyunwoo J. Kim
Gunhee Kim
12
181
0
02 Nov 2018
WikiHow: A Large Scale Text Summarization Dataset
WikiHow: A Large Scale Text Summarization Dataset
Mahnaz Koupaee
William Yang Wang
4
282
0
18 Oct 2018
Deep Transfer Reinforcement Learning for Text Summarization
Deep Transfer Reinforcement Learning for Text Summarization
Yaser Keneshloo
Naren Ramakrishnan
Chandan K. Reddy
27
37
0
15 Oct 2018
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
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