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The tutorial aims to give a working knowledge of Language Modeling techniques to an audience familiar with classical approaches to IR. The tutorial will cover four prominent families of language models: (i) basic models, and their relation to probabilistic models of IR, (ii) translation models with applications to Cross-Language Retrieval, (iii) aspect models and (iv) non-parametric models with applications to Topic Detection, Multimedia Retrieval and Collaborative Filtering.
Victor Lavrenko is a Graduate Research Assistant in the Center for Intelligent Information Retrieval at the University of Massachusetts, Amherst. He received his B.S. (1998) and M.S. (2000) degrees in Computer Science from the University of Massachusetts and expects to complete his doctorate studies in 2003. His dissertation work on statistical topic models is supervised by professors James Allan and W. Bruce Croft. Victor's primary interests are in the application of statistical language modeling to the problems in Information Retrieval and Topic Detection.