Scalable Natural Language Processing and Biomedical Text Mining
About the speaker
Yoshimasa Tsuruoka (homepage) is associate professor at the School of Information Science of the Japan Advanced Institute of Science and Technology (JAIST) at the University of Tokyo.
This talk will cover our recent research efforts for building efficient and scalable text mining applications. I will start by giving a brief demonstration of our text mining system for discovering previously unknown relations between biomedical concepts such as genes and diseases from a large collection of documents. The second topic of the talk will be an efficient online machine learning algorithm that allows us to create compact probabilistic models for various types of learning problems that we face in building text mining and natural language processing components. Finally, I will talk about some task-specific models and efficient algorithms for different types of natural language analysis including part-of-speech tagging and syntactic parsing.
Annexe, University of Antwerp, Rodestraat 14, 2000 Antwerpen
Annexe is building 3 on the Campus Map
[13 registered participants]