| Vol-2937 urn:nbn:de:0074-2937-4 Copyright © 2021 for the individual papers by the papers' authors. Copyright © 2021 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 2021
Computational Models of Natural Argument 2021

### Proceedings of the 21st Workshop on Computational Models of Natural Argument

### Online, September 2-3, 2021.

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

## Table of Contents

- Programme Committee

- Determination of Reflective User Engagement in Argumentative Dialogue Systems 1-8
  Annalena Aicher, Wolfgang Minker, Stefan Ultes
- Towards a Declarative Approach to Constructing Dialogue Games 9-18
  Mark Snaith, Simon Wells
- Some Argumentative Uses of the Rhetorical Figure of Antithesis in Environmental Science Policy Articles 19-25
  Nancy L. Green
- What Makes You Fupy (‘Food’ + ‘Happy’)? Leveraging Strategic Maneuvering to Build Food Coaching Apps 26-39
  Elena Musi, Rudi Palmieri, Chiara Mercuri, Alessandro Giudici, Neil Maiden, Charlotte Hardman, Rita Borgo
- Improving Misinformation Detection in Tweets with Abstract Argumentation 40-46
  Lars Malmqvist, Tommy Yuan, Peter Nightingale
- Machine Learning and Legal Argument 47-56
  Jack Mumford, Katie Atkinson, Trevor Bench-Capon
- A First Experiment Using ILP for Argument Mining 57-64
  Nancy L. Green, L. Joshua Crotts

2021-08-29: submitted by Floriana Grasso, metadata incl. bibliographic data published under Creative Commons CC0
2021-08-30: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|