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.  
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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.
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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.
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This book is open access, which means that you have free and unlimited access
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Open Access This book is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this book are included in the book's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the book's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
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Produktdetaljer

ISBN
9783031635359
Publisert
2024-07-17
Utgiver
Vendor
Springer International Publishing AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet