PAN 2020 now live!

Workshop Keynotes

PAN is co-located with the CLEF conference and will be held from September 08 to 11, 2015.

Tommaso Fornaciari
Deception detection in criminal analysis: from lie detector to stylometry
Italian National Police

To detect deception in communications is a difficult task for humans and a critical issue in police investigations. In fact, no specific signs of deception, such as the Pinocchio's growing nose, have never been clearly identified, even though several approaches have been developed in order to unmask liars and the false information they convey. The speech will examine the problem in the perspective of police practices, from collection to evaluation of testimonies. The contribution of different techniques and technologies for testimonies' analysis will be discussed, with particular focus on the role of the modern stylometry, as many studies in literature suggest that the discipline, which exploits computational methods in order to analyze samples of spoken and written language through their stylistic features, can be effectively employed in deception detection.

Tommaso Fornaciari is a Police Officer Psychologist of Italian National Police. Since 2003 he worked at the Forensic Science Police Service, dealing with crime scene analysis, behavioral analysis and investigative data analysis, mostly regarding bloody murders. With the purpose of supporting the analysis of testimonies, in 2009 he began to attend the PhD school of the Center for Mind/Brain Sciences - CIMeC of the University of Trento, where he carried out a research project in forensic linguistics (Ph.D. in Cognitive and Brain Sciences, 2012). In particular, he applied computational techniques in order to detect deception in transcripts of hearings held in Italian Courts. He is going ahead with research in deception detection and currently he works at the Italian Ministry of Interior, where he is engaged in research and technological innovation for public security.

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Walter Daelemans
Author Profiling in Practice
University of Antwerp

In this talk I will describe recent research within the CLiPS research centre on author profiling: the automatic assignment of demographic and psychological properties to (unknown) authors of text on the basis of linguistic analysis of these texts. I will describe different ways in which the results of this research are currently being applied. In the AMiCA project, the goal is to help moderators of social networks to detect harmful situations in their network. Our case studies concern cyberbullying, pedophile grooming, and suicide announcements. I wil show how profiling information can help achieve these tasks. In addition I will briefly demo the profiling system of Textgain, a spin-off company from CLiPS, and describe some of the applications in which their profiling web services are put to use.

Walter Daelemans (PhD in Computational Linguistics, 1987). Trained as a linguist and psycholinguist at the Universities of Antwerpen and Leuven, he specialized in computational linguistics and held research or teaching posts at the University of Nijmegen, the AI Lab of Vrije Universiteit Brussel, and Tilburg University. Since 1999 he is full professor at the University of Antwerp and research director of CLiPS. His main research interests are in machine learning of language, text analytics, computational stylometry, and computational psycholinguistics.

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