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News Summarization and Evaluation in the Era of GPT-3
v1v2 (latest)

News Summarization and Evaluation in the Era of GPT-3

26 September 2022
Tanya Goyal
Junyi Jessy Li
Greg Durrett
    ELM
ArXiv (abs)PDFHTML

Papers citing "News Summarization and Evaluation in the Era of GPT-3"

21 / 71 papers shown
Title
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
97
25
0
18 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
905
42,520
0
28 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
95
397
0
07 May 2020
SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for
  Multi-Document Summarization
SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization
Yang Gao
Wei Zhao
Steffen Eger
ELM
98
126
0
07 May 2020
On Faithfulness and Factuality in Abstractive Summarization
On Faithfulness and Factuality in Abstractive Summarization
Joshua Maynez
Shashi Narayan
Bernd Bohnet
Ryan T. McDonald
HILM
93
1,041
0
02 May 2020
Fill in the BLANC: Human-free quality estimation of document summaries
Fill in the BLANC: Human-free quality estimation of document summaries
Oleg V. Vasilyev
Vedant Dharnidharka
John Bohannon
3DH
92
119
0
23 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
RALM3DGS
299
2,056
0
18 Dec 2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
M. Lewis
Yinhan Liu
Naman Goyal
Marjan Ghazvininejad
Abdel-rahman Mohamed
Omer Levy
Veselin Stoyanov
Luke Zettlemoyer
AIMatVLM
266
10,880
0
29 Oct 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
115
747
0
28 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
506
20,376
0
23 Oct 2019
MoverScore: Text Generation Evaluating with Contextualized Embeddings
  and Earth Mover Distance
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance
Wei Zhao
Maxime Peyrard
Fei Liu
Yang Gao
Christian M. Meyer
Steffen Eger
194
602
0
05 Sep 2019
HighRES: Highlight-based Reference-less Evaluation of Summarization
HighRES: Highlight-based Reference-less Evaluation of Summarization
Hardy Hardy
Shashi Narayan
Andreas Vlachos
54
61
0
04 Jun 2019
BERTScore: Evaluating Text Generation with BERT
BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang
Varsha Kishore
Felix Wu
Kilian Q. Weinberger
Yoav Artzi
374
5,872
0
21 Apr 2019
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional
  Neural Networks for Extreme Summarization
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
Shashi Narayan
Shay B. Cohen
Mirella Lapata
AILaw
161
1,686
0
27 Aug 2018
Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive
  Strategies
Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies
Max Grusky
Mor Naaman
Yoav Artzi
100
559
0
30 Apr 2018
A Discourse-Aware Attention Model for Abstractive Summarization of Long
  Documents
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents
Arman Cohan
Franck Dernoncourt
Doo Soon Kim
Trung Bui
Seokhwan Kim
W. Chang
Nazli Goharian
493
763
0
16 Apr 2018
Get To The Point: Summarization with Pointer-Generator Networks
Get To The Point: Summarization with Pointer-Generator Networks
A. See
Peter J. Liu
Christopher D. Manning
3DPC
313
4,029
0
14 Apr 2017
SQuAD: 100,000+ Questions for Machine Comprehension of Text
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
316
8,177
0
16 Jun 2016
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and
  Beyond
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond
Ramesh Nallapati
Bowen Zhou
Cicero Nogueira dos Santos
Çağlar Gülçehre
Bing Xiang
AIMat
294
2,568
0
19 Feb 2016
A Neural Attention Model for Abstractive Sentence Summarization
A Neural Attention Model for Abstractive Sentence Summarization
Alexander M. Rush
S. Chopra
Jason Weston
CVBM
186
2,703
0
02 Sep 2015
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
355
3,555
0
10 Jun 2015
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