WebJan 1, 2024 · A particularly challenging task is the generation of counter-arguments. So far, approaches primarily focus on rebutting a given conclusion, yet other ways to counter an argument exist. WebConclusion-based Counter-Argument Generation Milad Alshomary and Henning Wachsmuth ConEntail: An Entailment-based Framework for Universal Zero and Few Shot Classification with Supervised Contrastive Pretraining Haoran Zhang, Aysa Xuemo Fan and Rui Zhang Contextual Semantic Parsing for Multilingual Task-Oriented Dialogues

Conclusion-based Counter-Argument Generation

Webgument’s conclusion and counter-argument jointly in the given task. 2 Related Work Argument generation is one of the main branches of computational argumentation, … WebIn 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 … books matthew reilly

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Webcounter-argument generation.We publish the model weights and all datasets and code to train the Arg-CTRL.1 ... (e.g. arguments) based on a given input (usually the beginning … WebAn argument is a set of statements made up, at minimum, of the following parts: A main conclusion: This statement is a claim that expresses what the arguer is trying to persuade us to accept, whether or not it actually is true. Evidence: Also known as premises or support, the arguer provides these statements in order to show us that the ... WebNov 4, 2024 · This work introduces a new multi-step approach for the argument retrieval problem. Rather than relying on ground-truth assignments, our approach employs a machine learning model to capture semantic relationships between arguments. Beyond that, it aims to cover diverse facets of the query, instead of trying to identify duplicates explicitly. books mcgraw-hill