33.2287, Calls: Computational Linguistics/Korea, South

[The LINGUIST List]

LINGUIST List: Vol-33-2287. Mon Jul 18 2022. ISSN: 1069 - 4875.

Subject: 33.2287, Calls: Computational Linguistics/Korea, South

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Date: Mon, 18 Jul 2022 03:19:20
From: Gabriella Lapesa [gabriella.lapesa at ims.uni-stuttgart.de]
Subject: 9th Argument Mining Workshop

 
Full Title: 9th Argument Mining Workshop 

Date: 12-Oct-2022 - 17-Oct-2022
Location: Gyeongju (hybrid), Korea, South 
Contact Person: Gabriella Lapesa
Meeting Email: gabriella.lapesa at ims.uni-stuttgart.de
Web Site: https://argmining-org.github.io/2022/ 

Linguistic Field(s): Computational Linguistics 

Call Deadline: 18-Jul-2022 

Meeting Description:

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.

SURVEY ON WORKSHOP FORMAT
If you are interested in the workshop, please fill in our survey
https://docs.google.com/forms/d/1o5MzkSI9CeP_dcFKHqYNT_RwY_G-jwkZm1Hy9snyMpk/e
dit 
Knowing your preferences will help us find the right format and make it
engaging and useful! 

ORGANIZERS
Gabriella Lapesa (University of Stuttgart)
Jodi Schneider (University of Illinois)
Yohan Jo (Amazon)
Sougata Saha (University at Buffalo, New York)


Final Call for Papers:

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/ 

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

##################################################################

Final Call for Papers - Deadline extension (apologies for cross-posting) 

Location: In conjunction with COLING 2022 in Gyeongju, Republic of Korea - in
a hybrid format
Webpage: https://argmining-org.github.io/2022/
Contact: argmining.org at gmail.com
Workshop Date: October 17

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.

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/ 

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.

For full information about submission (topics, formats, rules) refer to
https://argmining-org.github.io/2022/ 

Important Dates
- Submission due: July 18, 2022
- Notification of acceptance: August 25, 2021
- Camera-ready papers due: September 5, 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)




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LINGUIST List: Vol-33-2287	
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