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Falsesum: Generating Document-level NLI Examples for Recognizing Factual
  Inconsistency in Summarization

Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization

12 May 2022
Prasetya Ajie Utama
Joshua Bambrick
N. Moosavi
Iryna Gurevych
    HILM
ArXivPDFHTML

Papers citing "Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization"

11 / 11 papers shown
Title
On A Scale From 1 to 5: Quantifying Hallucination in Faithfulness Evaluation
On A Scale From 1 to 5: Quantifying Hallucination in Faithfulness Evaluation
Xiaonan Jing
Srinivas Billa
Danny Godbout
HILM
76
0
0
16 Oct 2024
STORYSUMM: Evaluating Faithfulness in Story Summarization
STORYSUMM: Evaluating Faithfulness in Story Summarization
Melanie Subbiah
Faisal Ladhak
Akankshya Mishra
Griffin Adams
Lydia B. Chilton
Kathleen McKeown
78
4
0
09 Jul 2024
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in
  Summarization
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization
Philippe Laban
Tobias Schnabel
Paul N. Bennett
Marti A. Hearst
HILM
78
389
0
18 Nov 2021
Annotating and Modeling Fine-grained Factuality in Summarization
Annotating and Modeling Fine-grained Factuality in Summarization
Tanya Goyal
Greg Durrett
HILM
48
154
0
09 Apr 2021
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
225
2,029
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
85
739
0
28 Oct 2019
Neural Text Summarization: A Critical Evaluation
Neural Text Summarization: A Critical Evaluation
Wojciech Kry'sciñski
N. Keskar
Bryan McCann
Caiming Xiong
R. Socher
72
363
0
23 Aug 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
111
1,652
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
81
550
0
30 Apr 2018
Annotation Artifacts in Natural Language Inference Data
Annotation Artifacts in Natural Language Inference Data
Suchin Gururangan
Swabha Swayamdipta
Omer Levy
Roy Schwartz
Samuel R. Bowman
Noah A. Smith
117
1,167
0
06 Mar 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
460
4,444
0
18 Apr 2017
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