ArgMining 2017 : 4th Workshop on Argument Mining, in conjunction with EMNLP 2017
Call For Papers
CALL FOR PAPERS
4th Workshop on Argument Mining, in conjunction with EMNLP 2017
Copenhagen, Denmark; September 8, 2017
*Submission Deadline: Friday, June 2, 2017*
The goal of the workshop is to provide a follow-on forum to the last three years' Argumentation Mining workshops at ACL, the first research forum devoted to argumentation mining in all domains of discourse.
Argument mining (also, 'argumentation mining', also referred to as 'computational argumentation' in some recent works) is a relatively new challenge in corpus-based discourse analysis that involves automatically identifying argumentative structures within discourse, e.g., the premises, conclusion, and argumentation scheme of each argument, as well as argument-subargument and argument-counterargument relationships between pairs of arguments in the document. To date, researchers have investigated methods for argument mining in areas such as legal documents, on-line debates, product reviews, academic literature, user comments on proposed regulations, newspaper articles and court cases, as well as in dialogical domains.
Proposed applications of argumentation mining include improving information retrieval and information extraction as well as end-user visualization aiming to a succinct presentation of the pros and cons of a topic of interest. Textual sources of interest include not only statutes, case decisions, and other legal texts, scientific writing and parliamentary records, but also newspaper archives, Wikipedia articles, as well as a variety of informal genres such as microtext, spoken meeting transcripts, product reviews and user comments. In instructional contexts where argumentation is a pedagogically important tool for conveying and assessing students' command of course material, the written and diagrammed arguments of students (and the mappings between them) are educational data that can be mined for purposes of assessment and instruction.
Success in argument mining will require interdisciplinary approaches informed by natural language processing technology, theories of semantics, pragmatics and discourse, knowledge of discourse of domains such as law and science, artificial intelligence, argumentation theory, and computational models of argumentation. In addition, it will require the creation and annotation of high-quality corpora of argumentation from different types of sources in different domains.
This workshop will solicit LONG PAPERS and SHORT PAPERS for oral and poster presentations, as well as DEMOS of argument/argumentation mining systems and tools.
Specific topics for submissions include:
o Automatic identification of argument elements (e.g., premises and conclusion; data, claim and warrant), argumentation schemes, relationships between arguments in a document, and relationships to discourse goals (e.g. stages of a 'critical discussion') and/or rhetorical strategies;
o Creation/evaluation of argument annotation schemes, relationship of argument annotation to linguistic and discourse structure annotation schemes, (semi)automatic argument annotation methods and tools, and creation/annotation of high-quality shared argumentation corpora;
o Processing strategies integrating NLP methods and AI models developed for argumentation, such as argumentation frameworks;
o Applications of argument/argumentation mining to, e.g., mining requirements and technical documents, analysis of arguments in dialogue (meetings, etc.), opinion analysis and mining consumer reviews, evaluation of students’ written arguments and argument diagrams, and information access (retrieval, extraction, summarization, and visualization) in scientific and legal documents;
o Argument mining and user generated content (UGC): automatic identification of argument elements in UGC, automatic identification and classification of relations between argument elements, relationships to discourse goals/rhetorical strategies in UGC, manually annotated and applications related to argument mining in UGC;
o Descriptions of implemented systems and tools for argument/argumentation mining;
o Descriptions and proposals for shared tasks;
o Student research proposals.
We will be using the EMNLP 2017 Submission Guidelines (http://emnlp2017.net/call-for-papers.html) for all submissions.
A LONG PAPER submission consists of a paper of up to eight (8) pages of content, plus two pages for references; final versions of long papers will be given one additional page (up to nine pages with unlimited pages for references) so that reviewers’ comments can be taken into account.
A SHORT PAPER submission consists of up to four (4) pages of content, plus 2 pages for references; final versions of short papers will be given one additional page (up to five pages in the proceedings and unlimited pages for references).
Papers that describe systems or tools are also invited to give a DEMO of their system. If you would like to present a demo in addition to presenting the paper, please make sure to select either "full paper + demo" or "short paper + demo" under "Submission Category" in the START submission page.
Previously published papers cannot be accepted. The submissions will be reviewed by the program committee. As reviewing will be blind, please ensure that papers are anonymous. Self-references that reveal the author's identity, e.g., "We previously showed (Smith, 1991) ...", should be avoided. Instead, use citations such as "Smith previously showed (Smith, 1991) ...".
Please use the EMNLP 2017 style sheets for composing your paper:
We will be using the START conference system to manage submissions (link forthcoming).
Submissions Deadline: Friday, June 2, 2017
Notification: Friday, June 30, 2017
Camera-Ready: Friday, July 14, 2017
All deadlines are calculated at 11:59 pm Pacific Daylight Savings Time (UTC-7h).
4th Workshop on Argument Mining: September 8, 2017 (Workshops, Day 2)
Main EMNLP conference: September 9-11, 2017
Iryna Gurevych, Technische Universität Darmstadt (chair)
Ivan Habernal, Technische Universität Darmstadt (chair)
Kevin Ashley, University of Pittsburgh
Claire Cardie, Cornell University
Nancy Green, University of North Carolina Greensboro
Diane Litman, University of Pittsburgh
Georgios Petasis, NCSR Demokritos, Athens
Chris Reed, University of Dundee
Noam Slonim, IBM Research
Vern R. Walker, Maurice A. Deane School of Law at Hofstra University, New York
Please write to: email@example.com with any questions.
Stergos Afantenos, University of Toulouse
Carlos Alzate, IBM Research – Ireland
Katarzyna Budzynska, Polish National Academy of Sciences & University of Dundee
Elena Cabrio, Université Côte d’Azur, CNRS, Inria, I3S, France
Matthias Grabmair, Carnegie Mellon University
Graeme Hirst, University of Toronto
Eduard Hovy, Carnegie Mellon University
Kuhn Jonas, University of Stuttgart
Jonas Kuhn, University of Stuttgart
Ran Levy, IBM Research
Maria Liakata, University of Warwick
Beishui Liao, Zhejiang University
Marie-Francine Moens, KU Leuven
Smaranda Muresan, Columbia University
Alexis Palmer, University of North Texas
Joonsuk Park, Williams College
Simon Parsons, King’s College London
Mercer Robert, University of Western Ontario
Ariel Rosenfeld, Bar-Ilan University, Israel
Patrick Saint-Dizier, IRIT-CNRS
Jodi Schneider, University of Illinois at Urbana-Champaign
Christian Stab, Technische Universität Darmstadt
Benno Stein, Bauhaus-Universität Weimar
Karkaletsis Vangelis, NCSR Demokritos, Athens
Serena Villata, CNRS, France
Henning Wachsmuth, Bauhaus-Universität Weimar
Lu Wang, Northeastern University
Zhongyu Wei, Fudan University
Janyce Wiebe, University of Pittsburgh
Adam Wyner, University of Aberdeen