The 9th Workshop on Argument Mining

Special Theme: Argument Mining in Real-World Applications

17 October 2022 - HYBRID format

Co-located with COLING 2022 in South Korea

Virtual: Join the workshop through Underline. A Zoom link is available in the linked page.

On-site: Room 103

Argument mining (also known as "argumentation mining") is a growing research area within computational linguistics. At its heart, argument mining involves the automatic identification of argumentative structures in free text, such as the conclusions, premises, and inference schemes of arguments, as well as their pro- and con-relations. To date, researchers have investigated argument mining on many genres, such as legal documents, product reviews, news articles, online debates, Wikipedia articles, essays, academic literature, tweets, and dialogues. In addition, argument quality assessment and generation are also important problems. Argument mining gives rise to various practical applications of great importance. In particular, it provides methods that can find and visualize the main pro and con arguments in written text and dialogue and that enable argument search on the web for a topic of interest. In educational contexts, argument mining can be applied to written and diagrammed arguments for instructing and assessing students' critical thinking. In information retrieval, argument mining is expected to play a salient role in the emerging field of conversational search.

We are looking for diverse research work on argument mining in real-world applications from various domains. Real-world applications include argument analysis in education, finance, law, public policy, and other social sciences, argument web search, opinion analysis in customer reviews, argument analysis in meetings, and scientific writing.


08:50–09:00 Opening Remarks

09:00–10:20 Panel Session

10:20–10:30 Break

10:30–12:00 Paper Session I. Chair: Khalid Al-Khatib (University of Groningen)

  • ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining
  • Data Augmentation for Improving the Prediction of Validity and Novelty of Argumentative Conclusions
  • Do Discourse Indicators Reflect the Main Arguments in Scientific Papers?
  • Analyzing Culture-Specific Argument Structures in Learner Essays
  • Perturbations and Subpopulations for Testing Robustness in Token-Based Argument Unit Recognition
  • A Unified Representation and a Decoupled Deep Learning Architecture for Argumentation Mining of Students' Persuasive Essays

12:00–13:00 Lunch (Exhibition Hall B)

13:00–14:00 Shared Task Session. Chair: Philipp Heinisch (University of Bielefeld)

  • 13:00–13:20 Intro: task description and data
  • 13:20–13:35 System overview
  • 13:35–14:00 Best system: Will It Blend? Mixing Training Paradigms & Prompting for Argument Quality Prediction

14:00–14:10 Break

14:10–14:50 Paper Session II. Chair: Henning Wachsmuth (University of Hannover)

  • Is Your Perspective Also My Perspective? Enriching Prediction with Subjectivity
  • Boundary Detection and Categorization of Argument Aspects via Supervised Learning
  • Predicting the Presence of Reasoning Markers in Argumentative Text

14:50–15:00 Break

15:00–16:00 Keynote Speech

16:00–16:15 Break

16:15–17:45 Paper Session III. Chair: Joonsuk Park (University of Richmond)

  • Detecting Arguments in CJEU Decisions on Fiscal State Aid
  • Multimodal Argument Mining: A Case Study in Political Debates
  • A Robustness Evaluation Framework for Argument Mining
  • On Selecting Training Corpora for Cross-Domain Claim Detection
  • Entity-based Claim Representation Improves Fact-Checking of Medical Content in Tweets
  • QualiAssistant: Extracting Qualia Structures from Texts

17:45–18:00 Closing Remarks + Best Paper Award

18:00–20:00 Social @ Whasoo Brewery

Panel Session

We will be hosting a panel session with the following domain experts

Keynote Speaker

Hans Hoeken

Title: Mining for Persuasive Ingredients: What’s the Right Mix?

Prof. Dr. Hans Hoeken

Department of Languages, Literature, and Communication, Utrecht University

Best paper award

Shared Task: Predicting the validity and novelty of arguments


Organized by Philipp Heinisch, Philipp Cimiano (University of Bielefeld), Anette Frank, and Juri Opitz (University of Heidelberg)

In recent years, there have been increased interests in understanding how to assess the quality of arguments systematically. To foster more research on this topic in the community, we plan to organize a task consisting of assessing whether computational models can reliably assess the validity and novelty of a conclusion given a set of the textual premises.

Participants can choose Task A or Task B, or both.

Call for Papers (Closed)

ArgMining 2022 invites the submission of long and short papers on substantial, original, and unpublished research in all aspects of argument mining. The workshop solicits LONG and SHORT papers for oral and poster presentations, as well as DEMOS of argument/argumentation mining systems and tools.

The topics for submissions include but are not limited to:


  • Damrin Kim, Konkuk University
  • Patricia Lee, University of Arizona


Organizing Committee

Program Committee

  • Rodrigo Agerri, University of the Basque Country
  • Khalid Al Khatib, University of Groningen
  • Roy Bar-Haim, IBM Research AI
  • Chris Biemann, University of Hamburg
  • Miriam Butt, University of Konstanz
  • Elena Cabrio, CNRS, Inria, I3S
  • Jonathan Clayton, University of Sheffield
  • Johannes Daxenberger, Technische Universität Darmstadt
  • Lorik Dumani, Trier University
  • Stephanie Evert, FAU Erlangen-Nürnberg
  • Neele Falk, University of Stuttgart
  • Andrea Galassi, University of Bologna
  • Michael Granitzer, University of Passau
  • Ivan Habernal, Technische Universität Darmstadt
  • Gerhard Heyer, University of Leipzig
  • Christopher Hidey, Columbia University
  • Lea Kawaletz, HHU Düsseldorf
  • Birgitta König-Ries, University of Jena
  • Manika Lamba, University of Delhi
  • Anne Lauscher, Bocconi University
  • John Lawrence, University of Dundee
  • Davide Liga, University of Bologna
  • Marie-Francine Moens, KU Leuven
  • Joonsuk Park, University of Richmond
  • Georgios Petasis, NCSR Demokritos, Athens
  • Olesya Razuvayevskaya, University of Cambridge
  • Chris Reed, University of Dundee
  • Julia Romberg, HHU Düsseldorf
  • Manfred Stede, University of Potsdam
  • Benno Stein, Bauhaus-Universität Weimar
  • Mohammed Taiye, Linnaeus University
  • Simone Teufel, University of Cambridge
  • Matthias Thimm, Fernuni Hagen
  • Dietrich Trautmann, University of Munich
  • Francielle Vargas, University of Sao Paulo
  • Eva Maria Vecchi, University of Stuttgart
  • Serena Villata, Université de Nice
  • Henning Wachsmuth, University of Paderborn
  • Gregor Wiedemann, Leibniz-Institut für Medienforschung
  • Hiroaki Yamada, Tokyo Institute of Technology

Best Paper Committee

  • Ivan Habernal, TU Darmstadt
  • Naoya Inoue, JAIST
  • Adam Wyner, Swansea University
  • Evgeny Kotelnikov, Vyatka State University

Local Chair

  • JinYeong Bak, Sungkyunkwan University

Past Workshops


We abide by the ACL anti-harassment policy.