Argument and Counter-Argument Generation: A Critical Survey - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2023

Argument and Counter-Argument Generation: A Critical Survey

Résumé

Argument Generation (AG) is becoming an increasingly active research topic in Natural Language Processing (NLP), and a large variety of terms has been used to highlight different aspects and methods of AG such as argument construction, argument retrieval, argument synthesis and argument summarization, producing a vast literature. This article aims to draw a comprehensive picture of the literature concerning argument generation and counter-argument generation (CAG). Despite the increasing interest on this topic, no attempt has been made yet to critically review the diverse and rich literature in AG and CAG. By confronting works from the relevant subareas of NLP, we provide a holistic vision that is essential for future works aiming to produce understandable, convincing and ethically sound arguments and counter-arguments.
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hal-04625682 , version 1 (26-06-2024)

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Xiaoou Wang, Elena Cabrio, Serena Villata. Argument and Counter-Argument Generation: A Critical Survey. NLDB 2023 - 28th International Conference on Applications of Natural Language to Information Systems, Jun 2023, Derby, United Kingdom. pp.500-510, ⟨10.1007/978-3-031-35320-8_37⟩. ⟨hal-04625682⟩
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