CMNA 2023
Computational Models of Natural Argument 2023

Proceedings of the 23nd Workshop on Computational Models of Natural Argument (CMNA 2023)

Virtual Event, December 3rd, 2023.

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 Campaign, US
(4) School of Computing, Edinburgh Napier University, UK

Programme Committee

Reva Freedman - Northern Illinois University US
Yuanxi Fu - University of Illinois at Urbana-Champaign US
Massimiliano Giacomin - University of Brescia Italy
Randy Harris - University of Waterloo Canada
Stella Heras - Universitat Politècnica de València Spain
Helmut Horacek - Saarland University Germany
Mare Koit - University of Tartu Estonia
Collin Lynch - North Carolina State University US
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
Ramon Ruiz Dolz - Universitat Politècnica de València Spain
Patrick Saint-Dizier - IRIT-CNRS France
Guillermo R. Simari - Universidad del Sur in Bahia Blanca Argentina
Mark Snaith - Robert Gordon University Aberdeen UK
Francielle Vargas - University of São Paulo Brasil
Tommy Yuan - University of York UK
Heng Zheng - School of Information Science, University of Illinois Urbana-Champaign US

Table of Contents

Summary: There were 7 papers submitted for peer-review to this workshop. Out of these, 5 papers were accepted for this volume, 2 as regular papers and 3 as short papers. In addition, two papers were accepted as extended abstracts.

Accepted Papers

Accepted Extended Abstracts

2023-12-02: submitted by Floriana Grasso, metadata incl. bibliographic data published under Creative Commons CC0
2024-01-09: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|