26.5622, Calls: Cog Sci, Comp Ling, Forensic Ling, Psycholing, Text/Corpus Ling/USA

Fri Dec 18 15:26:14 UTC 2015

LINGUIST List: Vol-26-5622. Fri Dec 18 2015. ISSN: 1069 - 4875.

Subject: 26.5622, Calls: Cog Sci, Comp Ling, Forensic Ling, Psycholing, Text/Corpus Ling/USA

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Date: Fri, 18 Dec 2015 10:25:55
From: Tommaso Fornaciari [tommaso.fornaciari at interno.it]
Subject: 2nd Workshop on Computational Approaches to Deception Detection

Full Title: 2nd Workshop on Computational Approaches to Deception Detection 
Short Title: CADD 2016 

Date: 17-Jun-2016 - 17-Jun-2016
Location: San Diego, California, USA 
Contact Person: Tommaso Fornaciari
Meeting Email: tommaso.fornaciari at interno.it
Web Site: http://www.montclair.edu/chss/linguistics/deception-detection/ 

Linguistic Field(s): Cognitive Science; Computational Linguistics; Forensic Linguistics; Psycholinguistics; Text/Corpus Linguistics 

Call Deadline: 26-Feb-2016 

Meeting Description:

We are pleased to announce the workshop on Computational Approaches to Deception Detection to be held in conjunction with the main NAACL 2016 conference in San Diego, California on 12-17 June 2016.

Motivation:

Detecting deception in communications has been a challenge throughout history. Since the early 20th century, however, a number of technologies have been developed, specifically aimed at unmasking deception primarily through the identification and analysis of cues possibly associated with false statements. The cues have varied widely, ranging from physiological measurements to non-verbal and verbal behaviors.

Several areas of natural language processing, including text classification, spoken language processing, sentiment analysis, and discourse are now addressing the descriptive criteria associated with deception. New approaches also present the opportunity to combine information from different modalities; for example, computational approaches to the analysis of facial expressions may also play a role in the identification of deceptive language.

In 2012 we organized a full-day workshop entitled “Computational Approaches to Deception Detection” for the EACL meeting in Avignon, France. Fourteen papers were delivered at the meeting to an audience of 31 attendees. Since then, there has been growing interest in deception detection among the computational linguistics community, as evidenced by the 24+ conference and journal papers published since 2012.

Four years out from EACL2012, we think it is time to create a new event where researchers in computational linguistics who deal with deception detection in any application area can share their methods and present their accomplishments.

The workshop on Computational Approaches to Deception Detection, is sponsored by the North American chapter of the Association for Computational Linguistics (NAACL) and is part of the NAACL 2016 conference to be held in San Diego, California on 12-17 June 2016.

Program Committee:

Angela Almela, University Centre for the Defense, San Javier
Iris Blandón-Gitlin, California State University
Claire Cardie, Cornell University
Fabio Celli, University of Trento
Rajarathnam Chandramouli, Stevens Institute of Technology
Carole Chaski, Institute for Linguistic Evidence
Walter Daelemans, University of Antwerp
Jeffrey Hancock, Stanford University
Julia Hirschberg, Columbia University
Jaume Masip, University of Salamanca
Rada Mihalcea, University of Michigan
Myle Ott, Facebook
Isabel Picornell, Aston University
Massimo Poesio, University of Essex
Paolo Rosso, Universitat Politècnica de València
Victoria Rubin, University of Western Ontario
Eugene Santos, Thayer School of Engineering at Dartmouth
Carlo Strapparava, Fondazione Bruno Kessler
Lina Zhou, University of Maryland

Organizing committee:
Tommaso Fornaciari, Italian National Police, Italy
Eileen Fitzpatrick. Montclair State University, Montclair NJ USA
Joan Bachenko, Linguistech LLC, Oxford NJ USA

Call for Papers:

We welcome contributions from the NLP community as well as participation from researchers who follow a multimodal approach and who deal with deception detection from different perspectives, including psychology, neuroscience, and human-computer interaction, in order to stress the applicability of the methods in many specific domains.

Topics:

- Classification techniques for identifying deceptive language 
- Corpora for testing judgments of deceptive language 
- Corpus annotation for deception cues
- Corpus annotation for ground truth
- Gathering data for forensic applications
- Online deception
- Relationships between deceptive language, autonomic responses, and facial expressions 
- Relationships between deceptive language and neuroimaging
- Comparing human to machine performance in deception detection
- Portability of deception models to languages other than English
- Applications of deception detection
- Fraud detection
- Detecting deception in groups
- Deception in product reviews

Submission instructions, NAACL Stylefiles, and further information on the workshop are at
http://www.montclair.edu/chss/linguistics/deception-detection/

Important Dates:

- 25 February 2016: Workshop Paper Due Date
- 20 March 2016: Notification of Acceptance
- 30 March 2016: Camera-ready papers due
- 17 June 2016: Workshop

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