THIRD CALL FOR PAPERS
NAACL Workshop on Computational Approaches to Deception Detection - CADD2016
We are pleased to announce the 2nd workshop on Computational Approaches to Deception Detection to be held on June 17, 2016 in conjunction with the main NAACL-HLT 2016 conference in San Diego, California,
http://www.montclair.edu/chss/linguistics/deception-detection/
IMPORTANT DATES
8 March 2016: Workshop Paper Due Date
20 March 2016: Notification of Acceptance
30 March 2016: Camera-ready papers due
17 June 2016: Workshop Dates
MOTIVATION
Since the early 20th century, a number of technologies have been developed for deception detection, primarily aimed at the identification and the 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.
In 2012 we organized a full-day workshop entitled "Computational Approaches to Deception Detection" for the EACL meeting in Avignon, France. Since then, there has been growing interest in deception detection among the computational linguistics community.
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 AND WORKSHOP WEBPAGE
http://www.montclair.edu/chss/linguistics/deception-detection/
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
Shervin Malmasi, Harvard Medical School
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