Ingrid Zukerman, Monash University
In the last decade, the increased and immediate availability of
large linguistic repositories has had a profound effect on research
and applications in NLP and User Modeling. The availability of these
repositories encourages the use of probabilistic techniques to solve
problems in these areas.
Two of the most influential techniques of this type are Bayesian
Networks and Markov Models. Markov Models represent temporal relations
between events, and Bayesian Networks represent causal and evidential
relations. The course will describe these techniques, present some of
their applications in User Modeling and NLP, and discuss challenges
and opportunities.
Materials
