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Natural Language Processing and its Applications
Dr. Vartapetiance will give a brief introduction to Natural Language Processing (NLP) and Computational Linguistics (CL), and provide real world examples of their application to problems of Deception Detection such as for Court Testimonies and Child Safety. The talk will then focus on Authorship Identification, which is concerned with identification of real authors of verbal (more specifically, written) content. Although not a new concern, this field has been receiving increased attention in recent years due to the Web and Social Media, which allows individuals both to impersonate and to masquerade, effectively anonymously, under multiple digital personas. In some cases, this kind of anonymity gives rise to bullying and other trolling behaviors. The talk will conclude by presenting an example where such identification has significant importance.
Dr. Anna Vartapetiance was awarded a PhD from the University of Surrey in 2015. Her PhD work on Deception Detection utilized Natural Language Processing (NLP) to develop automated/semi-automated systems, in an attempt to recognise and flag various types of deception such as Authorship Identification and Child Sexual Predator attempts. Anna obtained a Bachelor’s degree (Hons) in Information Systems from Goldsmiths College, University of London, and a Masters degree (Distinction) also in Information Systems from the University of Surrey, with her Masters Dissertation receiving the Best Dissertation Award.
Her research interests lie in Ethics, Deception Detection and Authorship Identification. Her most prominent work is focused on Sexual Predator Detection, and has been published in the Springer Journal of Security Informatics. Her research has also been published in over 15 peer reviewed journals and conference papers, and as book chapters. Anna’s research has found application in systems that enhance ethical outcomes and issues related to National DNA databases, Online Gambling, Virtual Worlds and Machine ethics.
This event is in English. No interpretation will be provided.
This event is open to public.