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I will be teaching LIS 9733 "Multilingual Information Access" in Fall 2016 next time . This course provides critical assessment of linguistically complex electronic environments and roles of multilingual resources putting emphasis on linguistic, societal, and technological issues in the global information access context. Best multilingual and cross-lingual practices (e.g., cross-language information retrieval, language identification, and machine translation) as well as resources (e.g., dictionaries and corpora) are revisited. In the context of global information production and usage, most users (especially, ethnocentric monolinguals) can benefit from an in-depth understanding of linguistic and socio-cultural issues associated with multilingual digital archives as well as insights into previously proposed technological solutions for multilingual information access (MLIA).
This coming winter 2016, in LIS 9732/9832 "Language and Computer Technologies for Libraries and Beyond", we will critically evaluate natural language technologies and envisage their creative applications in library settings and digital media at large. (No computer programming background required. No linguistic background required.)
In LIS 9002 "Organization of Information", we aim to develop an understanding of general principles and techniques for the organization, representation, and classification of information. Next time taught: Winter 2016.
My general interests are in Natural Language Processing (NLP) and Information Retrieval. NLP is a field that studies how computers can be used to analyze and represent human languages in order to facilitate human-computer communications, be it search, retrieval, or dialogue. My focus is on subtle but discernible properties of written text including writer's certainty about what is said, writer's emotions, opinions, and biases. I am modeling credibility assessment factors and investigating the feasibility of their automation with NLP techniques. My latest effort is in understanding the phenomenon of deception and its types, and in creating an ontology of deceptive cues for deception detection techniques. These different strands of research can also be classified as studying Human Information Behavior within LIS. If you are a student who is interested in and would like to study any of the above topics, please contact me.
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