| Vol-3205 urn:nbn:de:0074-3205-0 Copyright © 2021 for the individual papers by the papers' authors. Copyright © 2022 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 2022
Computational Models of Natural Argument

### Proceedings of the 22nd Workshop on Computational Models of Natural Argument

### Cardiff, Wales, September 12, 2022.

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

Summary: There were 12 papers submitted for peer-review to this workshop. Out of these, 10 papers were accepted for this volume, 7 as regular papers and 3 as short papers.
Programme Committee

- Modeling Contrastiveness in Argumentation 1-12
  AnneMarie Borg, Floris Bex
- Towards an Argument Scheme Classification for Ethical Reasoning 13-17
  Elfia Bezou-Vrakatseli, Oana Cocarascu, Sanjay Modgil
- Reconsidering RepStat Rules in Dialectical Games 18-28
  Simon Wells, Mark Snaith
- Representing and Extracting Support via Complement-based Argumentation Frameworks 29-38
  Jack Mumford, Katie Atkinson, Trevor Bench-Capon
- Towards a Formal Framework for Motivated Argumentation and the Roots of Conflict 39-50
  Tomasz Zurek, Adam Wyner
- Towards an Argument Knowledge Base for Autonomous Debating Systems 51-60
  Charles Stubbs, Tommy Yuan
- Annotating Argumentation within Questions. Prefaced Questions as a Genre Specific Argumentative Pattern in Earnings Conference Calls 61-66
  Costanza Lucchini, Andrea Rocci, Giulia D'Agostino
- Conversation Shaping Questions: a Taxonomy Used for Mapping Argumentative Dialogues in Financial Discourse 67-79
  Olena Yaskorska-Shah, Andrea Rocci, Chris Reed
- "(so long, and) thanks for all the color". Requests of Elaboration and Answers They Trigger in Earnings Conference Calls 80-85
  Giulia D'Agostino
- A Unified Representation and Deep Learning Architecture for Argumentation Mining of Students’ Persuasive Essays 86-97
  Muhammad Tawsif Sazid, Robert E. Mercer

2022-09-05: submitted by Floriana Grasso, metadata incl. bibliographic data published under Creative Commons CC0
2020-09-07: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|