Authorship Verification: A Fundamental Task in Authorship Attribution

Date: 27 January 2016

Venue: Annexe, Building R - Lange Winkelstraat - 2000 Antwerpen

Time: 3:00 PM - 4:30 PM

Organization / co-organization: CLiPS Research Center

Short description: CLiPS Colloquium by Efstathios Stamatatos (University of the Aegean, Greece)

CLiPS Colloquium by Efstathios Stamatatos

We are very pleased to invite you to the next CLiPS Colloquium.

On January 27, Efstathios Stamatatos will discuss the most recent perspectives on authorship verification. Below you can find more detailed information about the content of the talk and the speaker, which is currently visiting CLiPS. We are looking forward to welcoming you on this occasion, sure that it will be an great opportunity to learn more about one of the core problem of research in stylometry, explained by one of the leading scholars in the field.

ABSTRACT - Authorship attribution is a task of increasing importance in computer science and it is associated with a wide range of applications, from literary research to forensic examinations. The most common framework for testing attribution algorithms is a text classification problem: given known sample documents from a small, finite set of candidate authors, which if any wrote a questioned document of unknown authorship? It has been commented, however, that this may be an unreasonably easy task. A more demanding problem is author verification where given a set of documents by a single author and a questioned document, the problem is to determine if the questioned document was written by that particular author or not. This may more accurately reflect real life in the experiences of professional forensic linguists, who are often called upon to answer this kind of question. Authorship verification is a fundamental task in authorship attribution since any given problem can be decomposed into a series of verification cases. In this talk we will focus on the recent efforts of the PAN evaluation campaigns to establish a common and challenging evaluation framework for this task. The main stylometric methods suitable for this task together with basic verification models will be reviewed and available resources will be presented. Open research questions will be discussed and the relationship of authorship verification to other relevant tasks will be highlighted.
BIO - Dr. Efstathios Stamatatos received the diploma degree in electrical engineering (1994) and the doctoral degree in electrical and computer engineering (2000), both from the University of Patras, Greece. In the past, he has worked at the Polytechnic University of Madrid (1998) as a visiting researcher, the Austrian Research Institute for Artificial Intelligence as a post-doc researcher (2001-2002) and the Technological Educational Institute of Ionian Islands (2003-2004) as an assistant professor. Since 2004 he is a member of the faculty staff of the Department of information and Communication Systems Engineering, University of the Aegean (currently an associate professor). His research interests include text mining, natural language processing, information retrieval, and machine learning. He is the director of the Artificial Intelligence Lab., University of the Aegean, and has co-organized several international evaluation campaigns on plagiarism detection, authorship attribution and social software misuse.
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