[Corpora-List] Second CFP & Deadline extension: Deception Detection workshop

Wed Jan 11 15:08:33 UTC 2012

@font-face {  font-family: "Times New Roman";}p.MsoNormal, li.MsoNormal, div.MsoNormal { margin: 0in 0in 0.0001pt; font-size: 12pt; font-family: "Times New Roman"; }a:link, span.MsoHyperlink { color: blue; text-decoration: underline; }a:visited, span.MsoHyperlinkFollowed { color: purple; text-decoration: underline; }table.MsoNormalTable { font-size: 10pt; font-family: "Times New Roman"; }div.Section1 { page: Section1; } Second Call for Papers  EACL 2012 Workshop on Computational Approaches to DeceptionDetectionAvignon, France  
April 23, 2012  
Submission deadline extended to February 3, 2012

 MOTIVATIONThe 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. The workshop on Computational Approaches to DeceptionDetection, 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. The workshop is part of the EACL 2012 conference to be held in Avignon, France April 23-27, 2012. 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 from forensic contexts    *Online deception    *Trustworthiness    *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 IMPORTANT DATESFeb 3, 2012 Paper due date (extended)Feb 24, 2012 Notification of acceptanceMar 09, 2012 Camera-ready deadlineApr 23, 2012 Workshop on Computational Approaches to Deception Detection WORKSHOP WEBPAGESubmission instructions, EACL Stylefiles, and furtherinformation on the workshop are athttp://www.chss.montclair.edu/linguistics/DeceptionDetection.html PROGRAM COMMITTEEClaire Cardie, Cornell UniversityRajarathnam Chandramouli, Stevens Institute of TechnologyJeffrey F. Cohn, University of PittsburghCarole Chaski, Institute for Linguistic EvidenceJeffrey Hancock, Cornell UniversityJulia Hirschberg, Columbia UniversityThomas O. Meservy, University of MemphisRada Mihalcea, University of North TexasKevin Moffitt, Rutgers UniversityIsabel Picornell, Aston University and QED Ltd.Massimo Poesio, University of TrentoEugene Santos, Dartmouth UniversityCarlo Strapparava, Fondazione Bruno Kessler (FBK)Koduvayur Subbalakshmi, Stevens Institute of TechnologyDouglas Twitchell, Illinois State UniversityScott Weems, Center for Advanced Study of Language,University of Maryland ORGANIZING COMMITTEEEileen Fitzpatrick. Montclair State University, Montclair NJUSAJoan Bachenko, Linguistech Consortium, Oxford NJ USATommaso Fornaciari, Central Anticrime Directorate of ItalianNational Police& University of Trento, Center for Mind/Brain Sciences,Rovereto (TN), Italy

Eileen Fitzpatrick
Professor and Chair
Linguistics Department
Montclair State University
Montclair NJ 07043
973.655.4286

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