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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
ArXivPDFHTML

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

6 / 6 papers shown
Title
Predicting the Quality of Revisions in Argumentative Writing
Predicting the Quality of Revisions in Argumentative Writing
Zhexiong Liu
Diane Litman
E. Wang
L. Matsumura
Richard Correnti
30
5
0
01 Jun 2023
Claim Optimization in Computational Argumentation
Claim Optimization in Computational Argumentation
Gabriella Skitalinskaya
Maximilian Spliethover
Henning Wachsmuth
37
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
21
25
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
43
31
0
01 Jul 2021
Intrinsic Quality Assessment of Arguments
Intrinsic Quality Assessment of Arguments
Henning Wachsmuth
Till Werner
33
25
0
23 Oct 2020
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
194
576
0
02 May 2018
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