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Abstract Argumentation

Identifying argumentative statements from natural language dialogs.

Papers

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Showing 1–25 of 131 papers

TitleStatusHype
Deep Learning for Abstract Argumentation SemanticsCode1
Preference-Based Abstract Argumentation for Case-Based Reasoning (with Appendix)—0
An Argumentation-based Approach for Identifying and Dealing with Incompatibilities among Procedural Goals—0
Implementing Ranking-Based Semantics in ConArg: a Preliminary Report—0
Abduction and Dialogical Proof in Argumentation and Logic Programming—0
Abstract argumentation and answer set programming: two faces of Nelson's logic—0
Facets in Argumentation: A Formal Approach to Argument Significance—0
Abstract Argumentation / Persuasion / Dynamics—0
A Comparative Study of Ranking-based Semantics for Abstract Argumentation—0
A Bayesian Approach to Direct and Inverse Abstract Argumentation Problems—0
Aggregation in Value-Based Argumentation Frameworks—0
A Labelling Framework for Probabilistic Argumentation—0
An action language-based formalisation of an abstract argumentation framework—0
Analytical Solutions for the Inverse Problem within Gradual Semantics—0
Applying Abstract Argumentation Theory to Cooperative Game Theory—0
Abstract Argumentation and the Rational Man—0
An encoding of argumentation problems using quadratic unconstrained binary optimization—0
An Extension-based Approach for Computing and Verifying Preferences in Abstract Argumentation—0
An Extension-Based Argument-Ranking Semantics: Social Rankings in Abstract Argumentation Long Version—0
An Implementation, Empirical Evaluation and Proposed Improvement for Bidirectional Splitting Method for Argumentation Frameworks under Stable Semantics—0
An Imprecise Probability Approach for Abstract Argumentation based on Credal Sets—0
An Interleaving Semantics of the Timed Concurrent Language for Argumentation to Model Debates and Dialogue Games—0
A Note on Rich Incomplete Argumentation Frameworks—0
A note on the uniqueness of models in social abstract argumentation—0
A novel structured argumentation framework for improved explainability of classification tasks—0
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