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Annotating and Modeling Fine-grained Factuality in Summarization

Annotating and Modeling Fine-grained Factuality in Summarization

North American Chapter of the Association for Computational Linguistics (NAACL), 2021
9 April 2021
Tanya Goyal
Greg Durrett
    HILM
ArXiv (abs)PDFHTML

Papers citing "Annotating and Modeling Fine-grained Factuality in Summarization"

19 / 119 papers shown
Faithful to the Document or to the World? Mitigating Hallucinations via
  Entity-linked Knowledge in Abstractive Summarization
Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Yue Dong
John Wieting
Pat Verga
HILM
220
29
0
28 Apr 2022
FaithDial: A Faithful Benchmark for Information-Seeking Dialogue
FaithDial: A Faithful Benchmark for Information-Seeking DialogueTransactions of the Association for Computational Linguistics (TACL), 2022
Nouha Dziri
Ehsan Kamalloo
Sivan Milton
Osmar Zaiane
Mo Yu
Edoardo Ponti
Siva Reddy
HILM
313
116
0
22 Apr 2022
Spurious Correlations in Reference-Free Evaluation of Text Generation
Spurious Correlations in Reference-Free Evaluation of Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Esin Durmus
Faisal Ladhak
Tatsunori Hashimoto
141
35
0
21 Apr 2022
Factual Error Correction for Abstractive Summaries Using Entity
  Retrieval
Factual Error Correction for Abstractive Summaries Using Entity RetrievalIEEE Games Entertainment Media Conference (GEM), 2022
Hwanhee Lee
Cheoneum Park
Seunghyun Yoon
Trung Bui
Franck Dernoncourt
Juae Kim
Kyomin Jung
KELM
146
15
0
18 Apr 2022
Evaluating Factuality in Text Simplification
Evaluating Factuality in Text SimplificationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Ashwin Devaraj
William Sheffield
Byron C. Wallace
Junyi Jessy Li
HILM
180
50
0
15 Apr 2022
Learning to Revise References for Faithful Summarization
Learning to Revise References for Faithful SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Griffin Adams
Han-Chin Shing
Q. Sun
C. Winestock
Kathleen McKeown
Noémie Elhadad
241
37
0
13 Apr 2022
Probing Factually Grounded Content Transfer with Factual Ablation
Probing Factually Grounded Content Transfer with Factual AblationFindings (Findings), 2022
Peter West
Chris Quirk
Michel Galley
Yejin Choi
HILM
318
9
0
18 Mar 2022
Faithfulness in Natural Language Generation: A Systematic Survey of
  Analysis, Evaluation and Optimization Methods
Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods
Wei Li
Wenhao Wu
Moye Chen
Jiachen Liu
Xinyan Xiao
Hua Wu
HILM
358
37
0
10 Mar 2022
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation
  Practices for Generated Text
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated TextJournal of Artificial Intelligence Research (JAIR), 2022
Sebastian Gehrmann
Elizabeth Clark
Thibault Sellam
ELMAI4CE
681
220
0
14 Feb 2022
Massive-scale Decoding for Text Generation using Lattices
Massive-scale Decoding for Text Generation using Lattices
Jiacheng Xu
Siddhartha Reddy Jonnalagadda
Greg Durrett
AI4CE
294
8
0
14 Dec 2021
Training Dynamics for Text Summarization Models
Training Dynamics for Text Summarization Models
Tanya Goyal
Jiacheng Xu
Junjie Li
Greg Durrett
296
33
0
15 Oct 2021
CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in
  Abstractive Summarization
CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization
Prafulla Kumar Choubey
Alexander R. Fabbri
Jesse Vig
Chien-Sheng Wu
Wenhao Liu
Nazneen Rajani
HILM
310
21
0
14 Oct 2021
HydraSum: Disentangling Stylistic Features in Text Summarization using
  Multi-Decoder Models
HydraSum: Disentangling Stylistic Features in Text Summarization using Multi-Decoder ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Tanya Goyal
Nazneen Rajani
Wenhao Liu
Wojciech Kry'sciñski
AI4CE
284
16
0
08 Oct 2021
Truth-Conditional Captioning of Time Series Data
Truth-Conditional Captioning of Time Series Data
Harsh Jhamtani
Taylor Berg-Kirkpatrick
AI4TS
172
11
0
05 Oct 2021
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in
  Abstractive Summarization
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization
Shuyang Cao
Lu Wang
HILM
179
202
0
19 Sep 2021
Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness
  Trade-off in Abstractive Summarization
Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Faisal Ladhak
Esin Durmus
He He
Claire Cardie
Kathleen McKeown
215
72
0
31 Aug 2021
Evaluating the Tradeoff Between Abstractiveness and Factuality in
  Abstractive Summarization
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive SummarizationFindings (Findings), 2021
Markus Dreyer
Mengwen Liu
Feng Nan
Sandeep Atluri
Sujith Ravi
HILM
181
19
0
05 Aug 2021
Dissecting Generation Modes for Abstractive Summarization Models via
  Ablation and Attribution
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and AttributionAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Jiacheng Xu
Greg Durrett
159
18
0
03 Jun 2021
Improving Faithfulness in Abstractive Summarization with Contrast
  Candidate Generation and Selection
Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and SelectionNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Sihao Chen
Fan Zhang
Kazoo Sone
Dan Roth
HILM
235
115
0
19 Apr 2021
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