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Robust Argumentation Machines: First International Conference, RATIO 2024, Bielefeld, Germany, June 57, 2024, Proceedings 2024 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 372 pages, height x width: 235x155 mm, 43 Illustrations, color; 26 Illustrations, black and white; XVII, 372 p. 69 illus., 43 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Artificial Intelligence 14638
  • Izdošanas datums: 17-Jul-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031635353
  • ISBN-13: 9783031635359
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Robust Argumentation Machines: First International Conference, RATIO 2024, Bielefeld, Germany, June 57, 2024, Proceedings 2024 ed.Palielināt
  • Formāts: Paperback / softback, 372 pages, height x width: 235x155 mm, 43 Illustrations, color; 26 Illustrations, black and white; XVII, 372 p. 69 illus., 43 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Artificial Intelligence 14638
  • Izdošanas datums: 17-Jul-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031635353
  • ISBN-13: 9783031635359
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031635359.html
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.

 
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.