Del 14638 i serien Lecture Notes in Computer Science

Robust Argumentation Machines

First International Conference, RATIO 2024, Bielefeld, Germany, June 5–7, 2024, Proceedings

Häftad, Engelska, 2024

AvPhilipp Cimiano,Anette Frank,Michael Kohlhase,Benno Stein

1 799 kr

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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.

Produktinformation

Utgivningsdatum2024-07-17
Mått155 x 235 x 22 mm
Vikt593 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor372
FörlagSpringer International Publishing AG
ISBN9783031635359

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Matematikens grunder inom Naturvetenskap och teknik
Artificiell intelligens inom Data och IT

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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