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240801 ||| eng |
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|a 9783031635366
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|a Cimiano, Philipp
|e [editor]
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| 245 |
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|a Robust Argumentation Machines
|h Elektronische Ressource
|b First International Conference, RATIO 2024, Bielefeld, Germany, June 5–7, 2024, Proceedings
|c edited by Philipp Cimiano, Anette Frank, Michael Kohlhase, Benno Stein
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| 250 |
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|a 1st ed. 2024
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| 260 |
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|a Cham
|b Springer Nature Switzerland
|c 2024, 2024
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| 300 |
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|a XVII, 372 p. 69 illus., 43 illus. in color
|b online resource
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|a 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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| 653 |
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|a Software Engineering
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| 653 |
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|a Mathematical Logic and Foundations
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| 653 |
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|a Logic programming
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| 653 |
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|a Theory of Computation
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|a Computer science
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| 653 |
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|a Logic in AI.
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| 653 |
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|a Artificial intelligence
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|a Formal Languages and Automata Theory
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| 653 |
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|a Mathematical logic
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| 653 |
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|a Machine theory
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Software engineering
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| 700 |
1 |
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|a Frank, Anette
|e [editor]
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| 700 |
1 |
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|a Kohlhase, Michael
|e [editor]
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| 700 |
1 |
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|a Stein, Benno
|e [editor]
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| 041 |
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|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
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|a Lecture Notes in Artificial Intelligence
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| 028 |
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|a 10.1007/978-3-031-63536-6
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| 856 |
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|u https://doi.org/10.1007/978-3-031-63536-6?nosfx=y
|x Verlag
|3 Volltext
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|a 006.3
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| 520 |
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|a 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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