| Vol-3769 urn:nbn:de:0074-3769-5 Copyright © 2021 for the individual papers by the papers' authors. Copyright ©2024 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# CMNA 2024
Computational Models of Natural Argument

### Proceedings of the 24th Workshop on Computational Models of Natural Argument
co-located with 10th International Conference on Computational Models of Argument (COMMA 2024)

### Hagen, Germany, September 17th 2024.

Edited by

### Floriana Grasso(1)
Nancy L. Green(2)
Jodi Schneider(3)
Simon Wells(4)

(1) Department of Computer Science, University of Liverpool, UK
(2) Department of Computer Science, University of North Carolina at Greensboro, US
(3) School of Information Sciences, University of Illinois at Urbana Champaign, US
(4) School of Computing, Edinburgh Napier University, UK

## Table of Contents

Summary: Special theme for this edition: Domains of Natural Argument. There were 13 papers submitted for peer-review to this workshop. Out of these, 12 papers were accepted for this volume, 8 as regular papers and 4 as short papers.

### Programme Committee

Giulia D'Agostino - Università della Svizzera Italiana, Switzerland
Reva Freedman - Northern Illinois University, US
Yuanxi Fu - University of Illinois at Urbana-Champaign , US
Stella Heras - Universitat Politècnica de València, Spain
Helmut Horacek - German Research Centre for AI, Germany
Loris Isabettini - University of Windsor, Canada
Mare Koit - University of Tartu, Estonia
Jack Mumford - University of Liverpool, UK
Elena Musi - University of Liverpool, UK
Rudi Palmieri - University of Liverpool, UK
Andrea Pazienza - A3K Srl & NTT DATA SpA, Italy
Paul Piwek - The Open University, UK
Antonio Rago - Imperial College London, UK
Ramon Ruiz Dolz - University of Dundee, UK
Patrick Saint-Dizier - IRIT-CNRS, France
Guillermo R. Simari - Universidad del Sur in Bahia Blanca, Argentina
Mark Snaith - Robert Gordon University Aberdeen, UK
Tommy Yuan - University of York, UK
Heng Zheng - University of Illinois Urbana-Champaign, US

### Accepted Papers

- Enhancing Essay Argument Persuasiveness Prediction Using a RoBERTa-LSTM Hybrid Model 1-6
  Fahad M Alzaidee, Tommy Yuan, Peter Nightingale, Khaled El Ebyary
- Analysing Language of the Dynamics of Ethos and Emotions in Rephrased Arguments 7-17
  Katarzyna Budzynska, Marcin Koszowy, Patrick Saint-Dizier, Maciej Uberna
- Argumentative Patterns in the Context of Dialogical Exchanges in the Financial Domain 18-29
  Giulia D'Agostino, Andrea Rocci
- Argumentation Interfaces to Facilitate Human-Machine Collaboration in Scientific Research: A Preliminary Exploration 30-35
  Yuanxi Fu, Jodi Schneider
- Modeling Biochemistry Arguments 36-45
  Nancy L. Green, Derek T. McLachlin, Robert E. Mercer
- Detecting Disinformation through Computational Argumentation Techniques and Large Language Models 46-51
  Ana Gutiérrez, Stella Heras, Javier Palanca
- Modelling Natural Argumentation in Education: Bridging Traditional Frameworks and Modern Multimodal Approaches 52-58
  Loris Isabettini
- The Fallacy of Explainable Generative AI: Evidence from Argumentative Prompting in two Domains 59-69
  Elena Musi, Rudi Palmieri
- Predicting Human Judgement in Online Debates with Argumentation 70-80
  Beauty Oluokun, Guilherme Paulino-Passos, Antonio Rago, Francesca Toni
- From Loci to Critical Questions: an AMT Approach to Argument Evaluation. Insights from the Domain of Corporate Controversies 81-89
  Rudi Palmieri
- Arguments Based on Domain Rules in Prediction Justifications 90-99
  Joeri Peters, Floris Bex, Henry Prakken
- On Evaluating Legal-Reasoning Capabilities of Generative AI 100-112
  Henry Prakken

2024-09-13: submitted by Floriana Grasso, metadata incl. bibliographic data published under Creative Commons CC0
2024-09-29: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|