Exploring the potential of large language models in computational argumentation
Computational argumentation has become an essential tool in various fields, including
artificial intelligence, law, and public policy. It is an emerging research field in natural …
artificial intelligence, law, and public policy. It is an emerging research field in natural …
Do you hear the people sing? key point analysis via iterative clustering and abstractive summarisation
Argument summarisation is a promising but currently under-explored field. Recent work has
aimed to provide textual summaries in the form of concise and salient short texts, ie, key …
aimed to provide textual summaries in the form of concise and salient short texts, ie, key …
Assessing the sufficiency of arguments through conclusion generation
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 …
However, the amount of support required depends on the generality of a conclusion, the …
An empirical analysis of diversity in argument summarization
Presenting high-level arguments is a crucial task for fostering participation in online societal
discussions. Current argument summarization approaches miss an important facet of this …
discussions. Current argument summarization approaches miss an important facet of this …
Conclusion-based counter-argument generation
M Alshomary, H Wachsmuth - arXiv preprint arXiv:2301.09911, 2023 - arxiv.org
In real-world debates, the most common way to counter an argument is to reason against its
main point, that is, its conclusion. Existing work on the automatic generation of natural …
main point, that is, its conclusion. Existing work on the automatic generation of natural …
Key point analysis via contrastive learning and extractive argument summarization
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 presents …
given collection of arguments, representing the gist of these arguments. This paper presents …
Assessing the quality of argumentative texts: examining the general agreement between different rating procedures and exploring inferences of (dis) agreement cases
Y Landrieu, F De Smedt, H Van Keer… - Frontiers in …, 2022 - frontiersin.org
Assessing argumentative writing skills is not a straightforward task, as multiple elements
need to be considered. In function of providing feedback to students and keeping track of …
need to be considered. In function of providing feedback to students and keeping track of …
ArgU: A controllable factual argument generator
Effective argumentation is essential towards a purposeful conversation with a satisfactory
outcome. For example, persuading someone to reconsider smoking might involve …
outcome. For example, persuading someone to reconsider smoking might involve …
Overview of the 2022 validity and novelty prediction shared task
This paper provides an overview of the Argument Validity and Novelty Prediction Shared
Task that was organized as part of the 9th Workshop on Argument Mining (ArgMining 2022) …
Task that was organized as part of the 9th Workshop on Argument Mining (ArgMining 2022) …
Evaluating Unsupervised Argument Aligners via Generation of Conclusions of Structured Scientific Abstracts
Scientific abstracts provide a concise summary of research findings, making them a valuable
resource for extracting scientific arguments. In this study, we assess various unsupervised …
resource for extracting scientific arguments. In this study, we assess various unsupervised …