Robust Argumentation Machines : First International Conference, RATIO 2024, Bielefeld, Germany, June 5–7, 2024, Proceedings / / edited by Philipp Cimiano, Anette Frank, Michael Kohlhase, Benno Stein

• Autore: Cimiano Philipp
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
• Edizione: 1st ed. 2024.
• Descrizione fisica: 1 online resource (379 pages)
• Disciplina: 006.3
• Soggetto topico: Artificial intelligence; Computer science; Logic programming; Mathematical logic; Machine theory; Software engineering; Artificial Intelligence; Theory of Computation; Logic in AI; Mathematical Logic and Foundations; Formal Languages and Automata Theory; Software Engineering
• Altri autori: FrankAnette KohlhaseMichael SteinBenno
• Nota di contenuto: Argument Mining -- Natural language hypotheses in scientific papers and how to tame them: Suggested steps for formalizing complex scientific claims -- Weakly Supervised Claim Localization in Scientific Abstracts -- Argument Mining of Attack and Support Patterns in Dialogical Conversations with Sequential Pattern Mining -- Cluster-Specific Rule Mining for Argumentation-Based Classification -- Debate Analysis and Deliberation -- Automatic Analysis of Political Debates and Manifestos: Successes and Challenges -- PAKT: Perspectivized Argumentation Knowledge Graph and Tool for Deliberation Analysis -- PolArg: Unsupervised Polarity Prediction of Arguments in Real-Time Online Conversations -- Argument Acquisition, Annotation and Quality -- Assessment Are Large Language Models Reliable Argument Quality Annotators -- The Impact of Argument Arrangement on Essay Scoring -- Finding Argument Fragments on Social Media with Corpus Queries and LLMs -- Computational Models of Argumentation -- Enhancing Abstract Argumentation Solvers with Machine Learning-Guided Heuristics: A Feasibility Study -- Ranking Transition-based Medical Recommendations using Assumption-based Argumentation -- Argumentation-based Probabilistic Causal Reasoning -- From Networks to Narratives: Bayes Nets and the problems of argumentation -- Enhancing Argument Generation using Bayesian Networks -- “Do not disturb my circles!” Identifying the Type of Counterfactual at Hand -- Interactive Argumentation, Recommendation and Personalization -- BEA: Building Engaging Argumentation -- Deciphering Personal Argument Styles – A Comprehensive Approach to Analyzing Linguistic Properties of Argument Preferences -- Argument Search and Retrieval -- Extending the Comparative Argumentative Machine: Multilingualism and Stance Detection -- Objective Argument Summarization in Search -- ArgServices: A Microservice-Based Architecture for Argumentation Machines.
• Sommario/riassunto: This open access book constitutes the proceedings of the First International Conference on Robust Argumentation Machines, RATIO 2024, which took place in Bielefeld, Germany, during June 5-7, 2024. The 20 full papers and 1 short paper included in the proceedings were carefully reviewed and selected from 24 submissions. They were organized in topical sections as follows: Argument Mining; Debate Analysis and Deliberation; Argument Acquisition, Annotation and Quality Assessment; Computational Models of Argumentation; Interactive Argumentation, Recommendation and Personalization; and Argument Search and Retrieval. .
• Titolo autorizzato: Robust Argumentation Machines
• ISBN: 3-031-63536-1
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910874688403321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Artificial Intelligence, . 2945-9141 ; ; 14638