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Learning From Revisions: Quality Assessment of Claims in Argumentation
  at Scale

Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale

25 January 2021
Gabriella Skitalinskaya
Jonas Klaff
Henning Wachsmuth
ArXiv (abs)PDFHTML

Papers citing "Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale"

5 / 5 papers shown
Title
ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentation
ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentation
Maja Stahl
Timon Ziegenbein
Joonsuk Park
Henning Wachsmuth
ALMLRM
31
0
0
28 May 2025
Predicting Desirable Revisions of Evidence and Reasoning in
  Argumentative Writing
Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writing
T. Afrin
Diane Litman
52
6
0
10 Feb 2023
Claim Optimization in Computational Argumentation
Claim Optimization in Computational Argumentation
Gabriella Skitalinskaya
Maximilian Spliethover
Henning Wachsmuth
79
7
0
17 Dec 2022
Assessing the Sufficiency of Arguments through Conclusion Generation
Assessing the Sufficiency of Arguments through Conclusion Generation
Timon Ziegenbein
Milad Alshomary
Henning Wachsmuth
ELM
65
26
0
26 Oct 2021
Scientia Potentia Est -- On the Role of Knowledge in Computational
  Argumentation
Scientia Potentia Est -- On the Role of Knowledge in Computational Argumentation
Anne Lauscher
Henning Wachsmuth
Iryna Gurevych
Goran Glavaš
97
34
0
01 Jul 2021
1