The 9th Argument Mining Workshop
Special Theme: Argument Mining in Real-World Applications
Shared task: Automated Assessment of Argument Validity and Novelty
https://phhei.github.io/ArgsValidNovel/
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NEWS WITH RESPECT TO THE PREVIOUS CFP:
Extended deadline: July 18th 2022
Invited talk: Hans Hoeken (University of Utrecht), “Mining for Persuasive
Ingredients: What’s the Right Mix?”
Panel on applications of Argument Mining:
- Legal: Laura Alonso Alemany (University of Cordoba)
- Finance: Chung-Chi Chen (AIST)
- Education: Beata Beigman Klebanov (ETS)
- E-governance: Joonsuk Park (University of Richmond)
- Business: Michael Yeomans (Imperial College London)
Workshop date: October 17
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Location: In conjunction with COLING 2022 in Gyeongju, Republic of Korea - in a
hybrid format
Webpage: https://argmining-org.github.io/2022/
Contact: [email protected] <mailto:[email protected]>
Date: October 17
Final Call for Papers - Deadline extension (apologies for cross-posting)
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
in 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.
CALL FOR PAPERS
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 mining systems and tools.
The topics for submissions include but are not limited to:
• Automatic identification of argument components (premises and conclusions
or more fine-grained), and relations between arguments and counterarguments
(support and attack or more fine-grained) within/across documents
• Automatic assessment of properties of arguments and argumentation, such
as argumentation schemes, stance, quality, and persuasiveness
• Automatic synthesis of arguments and their components, including the
consideration of discourse goals (e.g., stages of a critical discussion or
rhetorical strategies) and the possibly needed preceding analyses
• Creation and evaluation of argument annotation schemes, relationships to
linguistic and discourse annotations, (semi-) automatic argument annotation
methods and tools, and creation of argumentation corpora
• Management of spoken and transcribed dialogue, argument mining from such
data, including additional challenges posed by real-time processing
• Combination of NLP methods and AI models developed for argumentation,
such as abstract and structured argumentation frameworks
• Combination of information retrieval methods with argument mining, e.g.
in order to build the next generation of argumentative (web) search engines
• Use of argument mining for studying research questions from education,
finance, law, public policy, digital humanities, and any other social sciences
• Reflection on the ethical aspects and societal impact of argument mining
methods
Submission Information
Three types of papers can be submitted: Long papers (8 pages + references),
short papers (4 pages + references), and demo papers (4 pages + references).
Demo papers must include a URL to a running demo. Accepted papers will be given
an additional page to account for the reviewers' comments. All papers will be
treated equally in the workshop proceedings. The workshop follows ACL’s
policies for submission, review, and citation. Moreover, authors are expected
to adhere to the ethical code set out in the ACL Code of Ethics. Submissions
that violate any of the policies will be rejected without review.
Please use the COLING 2022 style sheets for formatting your paper:
https://coling2022.org/
Submission URL: https://www.softconf.com/coling2022/AM_2022
The workshop is running a double-blind review process. In preparing your
manuscript, do not include any information which could reveal your identity, or
that of your co-authors. The title section of your manuscript should not
contain any author names, email addresses, or affiliation status. If you do
include any author names on the title page, your submission will be
automatically rejected. In the body of your submission, you should eliminate
all direct references to your own previous work. That is, avoid phrases such as
"this contribution generalizes our results for XYZ". Also, please do not
disproportionately cite your own previous work. In other words, make your
submission as anonymous as possible. We need your cooperation in our effort to
maintain a fair, double-blind reviewing process - and to consider all
submissions equally. Double Submission Papers that have been or will be
submitted to other venues should indicate this at submission time. Upon
acceptance at either event, the submission must be withdrawn from the other. To
save reviewers' efforts, avoid submitting (or withdraw early) papers that are
on track to be accepted elsewhere.
Important Dates
• Submission due: July 18, 2022
• Notification of acceptance: August 25, 2021
• Camera-ready papers due: September 5, 2022
• Workshop: TBD: COLING 2022 October 12-17, 2022
All deadlines are 11:59 pm UTC -12h (“anywhere on Earth”).
ORGANIZERS
Gabriella Lapesa (University of Stuttgart)
Jodi Schneider (University of Illinois Urbana-Champaign)
Yohan Jo (Amazon)
Sougata Saha (University at Buffalo, New York)
SHARED TASK: AUTOMATED ASSESSMENT OF ARGUMENT VALIDITY AND NOVELTY
Organizers: Philipp Heinisch, Philipp Cimiano (University of Bielefeld), Anette
Frank, and Juri Opitz (University of Heidelberg)
Webpage: https://phhei.github.io/ArgsValidNovel/
Brief description
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.
Tasks
Participants can choose either Task A or Task B, or both.
Task A: The first task consists of a binary classification task along the
dimensions of novelty and validity, classifying a conclusion as being
valid/novel or not given a textual premise.
Task B: The second subtask will consist in comparing two conclusions in terms
of validity / novelty._______________________________________________
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