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.

Format:

Book

Author/Creator:

Cimiano, Philipp.

Contributor:

Frank, Anette.

Kohlhase, Michael.

Stein, Benno.

Series:

Lecture Notes in Artificial Intelligence, 2945-9141 ; 14638

Language:

English

Subjects (All):

Artificial intelligence.

Computer science.

Logic programming.

Logic, Symbolic and mathematical.

Machine theory.

Software engineering.

Artificial Intelligence.

Theory of Computation.

Logic in AI.

Mathematical Logic and Foundations.

Formal Languages and Automata Theory.

Software Engineering.

Local Subjects:

Artificial Intelligence.

Theory of Computation.

Logic in AI.

Mathematical Logic and Foundations.

Formal Languages and Automata Theory.

Software Engineering.

Physical Description:

1 online resource (379 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

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. .

Contents:

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.

ISBN:

3-031-63536-1