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20022026
most citedPerspectives on Large Language Models for Relevance Judgment

170 citations · 516 across the 41 of their papers we have counts for

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Showing 2021Show all

8 papers · 1 filter

cs.CL2021

Assessing the Sufficiency of Arguments through Conclusion Generation

Timon Gurcke, Milad Alshomary, Henning Wachsmuth

The premises of an argument give evidence or other reasons to support a conclusion. However, the amount of support required depends on the generality of a conclusion, the nature of…

cs.CL2021

Key Point Analysis via Contrastive Learning and Extractive Argument Summarization

Milad Alshomary, Timon Gurcke, Shahbaz Syed +5

Key point analysis is the task of extracting a set of concise and high-level statements from a given collection of arguments, representing the gist of these arguments. This paper p…

cs.CL2021

Controlled Neural Sentence-Level Reframing of News Articles

Wei-Fan Chen, Khalid Al-Khatib, Benno Stein +1

Framing a news article means to portray the reported event from a specific perspective, e.g., from an economic or a health perspective. Reframing means to change this perspective.…

cs.CL2021★ 1 cited

Scientia Potentia Est -- On the Role of Knowledge in Computational Argumentation

Anne Lauscher, Henning Wachsmuth, Iryna Gurevych +1

Despite extensive research efforts in recent years, computational argumentation (CA) remains one of the most challenging areas of natural language processing. The reason for this i…

cs.CL2021★ 2 cited

Generating Informative Conclusions for Argumentative Texts

Shahbaz Syed, Khalid Al-Khatib, Milad Alshomary +2

The purpose of an argumentative text is to support a certain conclusion. Yet, they are often omitted, expecting readers to infer them rather. While appropriate when reading an indi…

cs.CL2021★ 2 cited

Argument Undermining: Counter-Argument Generation by Attacking Weak Premises

Milad Alshomary, Shahbaz Syed, Arkajit Dhar +2

Text generation has received a lot of attention in computational argumentation research as of recent. A particularly challenging task is the generation of counter-arguments. So far…

cs.CL2021

Belief-based Generation of Argumentative Claims

Milad Alshomary, Wei-Fan Chen, Timon Gurcke +1

When engaging in argumentative discourse, skilled human debaters tailor claims to the beliefs of the audience, to construct effective arguments. Recently, the field of computationa…

cs.CL2021

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

Gabriella Skitalinskaya, Jonas Klaff, Henning Wachsmuth

Assessing the quality of arguments and of the claims the arguments are composed of has become a key task in computational argumentation. However, even if different claims share the…