30.130, Calls: Computational Linguistics/Italy

Wed Jan 9 20:39:08 UTC 2019

LINGUIST List: Vol-30-130. Wed Jan 09 2019. ISSN: 1069 - 4875.

Subject: 30.130, Calls: Computational Linguistics/Italy

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Date: Wed, 09 Jan 2019 15:38:37
From: Roxanne El Baff [roxanne.el.baff at uni-weimar.de]
Subject: 6th International Workshop on Argument Mining

Full Title: 6th International Workshop on Argument Mining 
Short Title: ArgMining 2019 

Date: 01-Aug-2019 - 01-Aug-2019
Location: Florence, Italy 
Contact Person: Benno Stein
Meeting Email: henningw at upb.de, benno.stein at uni-weimar.de
Web Site: https://argmining19.webis.de/ 

Linguistic Field(s): Computational Linguistics 

Call Deadline: 26-Apr-2019 

Meeting Description:

Argument mining (also known as ''argumentation mining'') is a young and
emerging 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 interrelations and
counter-considerations.

To date, researchers have investigated argument mining on genres such as legal
documents, product reviews, news articles, online debates, user-generated web
discourse, Wikipedia articles, academic literature, persuasive essays, tweets,
and dialogues. Recently, also argument quality assessment came into focus. In
addition, argument mining is inherently tied to stance and sentiment analysis,
since every argument carries a stance towards its topic, often expressed with
sentiment.

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 a text corpus - or even on in an argument search
on the web - towards a topic or query of interest. In instructional contexts,
written and diagrammed arguments represent educational data that can be mined
for conveying and assessing students' command of course material. In
information retrieval, argument mining is expected to play a salient role in
the emerging field of conversational search. And with the IBM Debater,
technology based on argument mining recently received a lot of media
attention.

While solutions to basic tasks such as component segmentation and
classification slowly become mature, many tasks remain largely unsolved,
particularly in more open genres and topical domains. Success in argument
mining requires interdisciplinary approaches informed by NLP technology,
theories of semantics, pragmatics and discourse, knowledge of discourse in
application domains, artificial intelligence, information retrieval,
argumentation theory, and computational models of argumentation.

Call for Papers:

The 6th Argmining 2019 workshop (collocated with ACL 2019) invites the
submission of long and short papers on substantial, original, and unpublished
research in all aspects of argument mining.

Topics (include but 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) in as well as 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 the social
sciences, digital humanities, and related fields;
- Real-world applications, including argument web search, opinion analysis in
customer reviews, argument analysis in meetings, and applications in specific
domains such as education, law, and scientific writing.

Dates:

Submission due: April 26, 2019
Notification of acceptance: May 24, 2019
Camera-ready papers due: June 3, 2019
Workshop: August 1, 2019

All deadlines are 11:59PM UTC-12:00 (''Anywhere on Earth'').

Submission Information:

Three types of papers can be submitted:

- Long papers (8 pages + references)
- Short papers (4 pages + references)
- 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.

Submission is electronic, using the Softconf START conference management
system: Submit your paper https://www.softconf.com/acl2019/argmining/

All paper submissions must use the official ACL 2019 style templates

For more information please check:
https://argmining19.webis.de/call-for-papers.html

Co-chair:

Benno Stein, Bauhaus-Universität, Weimar
Henning Wachsmuth, Paderborn University

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