Conclusion-based counter-argument generation

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August undefined, 2024

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. WebCounter-Argument Generation by Attacking Weak Premises. Arkajit Dhar. 2024. Text generation has received a lot of attention in computational argumentation research as of …

Conclusion-based Counter-Argument Generation - Semantic Sc…

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. over 55 communities in tri cities wa

Implicit Premise Generation with Discourse-aware ... - ResearchGate

WebCounter-Argument Generation by Attacking Weak Premises. Arkajit Dhar. 2024. Text generation has received a lot of attention in computational argumentation research as of recently. 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 ... WebConclusion-based Counter-Argument Generation. no code implementations • 24 Jan 2024 • Milad Alshomary, Henning Wachsmuth. In real-world debates, the most common way to counter an argument is to reason against its main point, that is, its conclusion. Paper ... 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 ... over 55 communities in st pete beach

Argument Undermining: Counter-Argument Generation by …

WebConclusion-based Counter-Argument Generation 24 Jan 2024 ... In real-world debates, the most common way to counter an argument is to reason against its main point, that … WebThe Path to Power читать онлайн. In her international bestseller, The Downing Street Years, Margaret Thatcher provided an acclaimed account of her years as Prime Minister. This second volume reflects over 55 communities in upper bucks county paWebView history. A faulty generalization is an informal fallacy wherein a conclusion is drawn about all or many instances of a phenomenon on the basis of one or a few instances of that phenomenon. It is similar to a proof by example in mathematics. [1] It is an example of jumping to conclusions. [2] For example, one may generalize about all people ... over 55 communities in texas hill country

"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 … " - Conclusion-based counter-argument generation

Conclusion-based counter-argument generation

Generalized Stability Criteria for Special Linear Automatic Control ...

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, … WebJul 24, 2024 · Make a claim. Provide the grounds (evidence) for the claim. Explain the warrant (how the grounds support the claim) Discuss possible rebuttals to the claim, identifying the limits of the argument and showing that you have considered alternative perspectives. The Toulmin model is a common approach in academic essays.

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WebOct 26, 2024 · In this paper, we hypothesize that the conclusion of a sufficient argument can be generated from its premises. To study this hypothesis, we explore the potential of assessing sufficiency based on the output of large-scale pre-trained language models. Our best model variant achieves an F1-score of .885, outperforming the previous state-of-the ... WebJan 1, 2024 · Conclusion-based Counter-Argument Generation. Preprint. Full-text available. Jan 2024; Milad Alshomary; Henning Wachsmuth; In real-world debates, the most common way to counter an argument is to ...

WebJan 24, 2024 · The approach employs a stance-based ranking component that selects the counter from a diverse set of generated candidates whose stance best opposes the … WebMay 25, 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. In this work, we go beyond previous research by exploring argument undermining, that is, countering an argument by attacking one of its premises.

WebApr 7, 2024 · It consists of a powerful retrieval system and a novel two-step generation model, where a text planning decoder first decides on the main talking points and a … 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 …

WebJan 1, 2024 · Alshomary et al. (2024b) proposed an approach to generate counter-arguments by automatically identifying weak points in the input argument given the …

WebJul 30, 2024 · Argument mining (also known as “argumentation mining”) is a young and gradually maturing research area within computational linguistics. At its heart, argument mining involves the automatic identification of argumentative structures in free text, such as the conclusions, premises, and inference schemes of arguments as well as their … ralf gilsbachWebJul 24, 2024 · Make a claim. Provide the grounds (evidence) for the claim. Explain the warrant (how the grounds support the claim) Discuss possible rebuttals to the claim, … ralf ginterWebcounter-argument targeting the weak ones. On the one hand, both manual and automatic eval-uation proves the importance of identifying weak premises in counter-argument genera-tion. On the other hand, when considering cor-rectness and content richness, human annota-tors favored our approach over state-of-the-art counter-argument … over 55 communities in tulsa okWebConclusion-based Counter-Argument Generation 24 Jan 2024 ... 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 language counter-arguments does not address the relation to the conclusion, possibly because many ... over 55 communities in urbana mdWebApr 7, 2024 · Abstract. Automatic argument generation is an appealing but challenging task. In this paper, we study the specific problem of counter-argument generation, and present a novel framework, CANDELA. It … ralf gimmyWebcounter-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 of a sen-tence).Current argument generation models, how- ... son upon which the conclusion/evidence is built and (2) encode the stance towards a general but not ... over 55 communities in southern new hampshireWebConclusion-based Counter-Argument Generation In real-world debates, the most common way to counter an argument is to ... 0 Milad Alshomary, et al. ∙. share ... ralf g larsson