22.4865, Calls: Computational Ling, Forensic Ling/France

Tue Dec 6 17:42:59 UTC 2011

LINGUIST List: Vol-22-4865. Tue Dec 06 2011. ISSN: 1069 - 4875.

Subject: 22.4865, Calls: Computational Ling, Forensic Ling/France

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1)
Date: 05-Dec-2011
From: Eileen Fitzpatrick [fitzpatricke at mail.montclair.edu]
Subject: EACL 2012 Workshop on Computational Approaches to Deception Detection

-------------------------Message 1 ---------------------------------- 
Date: Tue, 06 Dec 2011 12:41:25
From: Eileen Fitzpatrick [fitzpatricke at mail.montclair.edu]
Subject: EACL 2012 Workshop on Computational Approaches to Deception Detection

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Full Title: EACL 2012 Workshop on Computational Approaches to Deception Detection 

Date: 23-Apr-2012 - 23-Apr-2012
Location: Avignon, France 
Contact Person: Eileen Fitzpatrick
Meeting Email: fitzpatricke at mail.montclair.edu
Web Site: http://www.chss.montclair.edu/linguistics/DeceptionDetection.html 

Linguistic Field(s): Computational Linguistics; Forensic Linguistics 

Call Deadline: 27-Jan-2012 

Meeting Description:

The EACL 2012 One-Day Workshop on Computational Approaches to Deception Detection explores empirical approaches to detecting deception through linguistic behavior and related modalities. The workshop is part of the EACL 2012 conference to be held in Avignon, France April 23-27, 2012.

The ability to detect deceptive statements has broad applications in law enforcement, business, national security, human resources, advertising, and in predatory communications, including Internet scams, identity theft, and fraud. Deceptive communications may come from a variety of spoken and written sources, including police interviews, legal depositions and testimony, online postings, email, witness and suspect statements, and coded conversations.

The empirical study of deception in language dates at least from Undeutsch (1954, 1989), who hypothesized that 'there are certain relatively exact, definable, descriptive criteria that form a key tool for the determination of the truthfulness of statements'. Reviews from the field of psychology indicate that many types of deception can be identified because the liar's behavior - verbal, visual, and physiological - varies considerably from that of the truth teller's.  Even so, humans are notoriously poor at spotting deception, with accuracy rates at the level of chance. Can machines do better?

Several areas of natural language processing are ripe to address the descriptive criteria associated with deception, including text classification, spoken language processing, sentiment analysis, discourse, and pragmatics. New approaches might combine information from different modalities, for example, computational approaches to the analysis of facial expressions may also impinge on the identification of deceptive language. A spate of recent NLP papers on the classification of narratives as true/false suggests that the field is ready to open up to this promising application. 

Call for Papers:

The workshop on Computational Approaches to Deception Detection, sponsored by the European chapter of the Association for Computational Linguistics (EACL), invites contributions from the NLP community as well as participation from researchers who deal with deception detection from different perspectives, including psychology, neuroscience, and human-computer interaction. 

Submission Instructions:

Authors are invited to submit papers on original, unpublished work in the topic areas of this workshop. In addition to long papers presenting completed work, we also invite short papers and demos:

Long papers should present completed work and should not exceed 8 pages.

Short papers/demos can present work in progress or the description of a system, and should not exceed 5 pages.

As reviewing will be double-blind, the paper should not include the authors' names and affiliations. Furthermore, 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) ...'. Authors should not use anonymous citations and should not include any acknowledgments. Papers that do not conform to these requirements will be rejected without review. Separate identification information is required, and will be part of the web submission process.

Paper Formatting and Requirements:

The paper should follow the two-column format of EACL-2012 proceedings (available on our website). We reserve the right to reject submissions if the paper does not conform to these styles, including A4 size and font size restrictions. The only accepted format for submitted papers is Adobe PDF.

Papers that are being submitted to other conferences or workshops must disclose this information at submission time. Please list all other meetings where the paper has been submitted in the 'other submissions' field on the submission site.

Submission and reviewing will be electronic, managed by the START system:  

https://www.softconf.com/eacl2012/DeceptionDetection/

Submissions must be uploaded onto the START system by the submission deadline: January 27, 2012 (11:59pm Samoa Time; UTC/GMT-11 hours)

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