De 17.30 a 19.00 h
Dr. Eric Nyberg is a Professor in the Language Technologies Institute in the School of Computer Science at Carnegie Mellon University. He is Director for the M.S. program in Very Large Information Systems, and co-Director for the M.S. Program in Biotechnology, Innovation, and Computation. He information retrieval, and automatic question answering. Dr. Nyberg received his Ph.D. from Carnegie Mellon University (1992), and his BA from Boston University (1983). He Advancement of Question Answering, an architecture and methodology for accelerating collaborative research in automatic question answering. In 2012, Dr. Nyberg received the Allen Newell Award for Research Excellence for his scientific contributions to the field of question answering and his work on the Watson project.
This talk presents a formal representation of the space of possible system configurations, given a set of information processing components and their parameters, and discusses algorithmic approaches to determine an optimal configuration. We introduce the Configuration Space Exploration framework, an extension to the UIMA framework which provides a general distributed solution for building and exploring configuration spaces for information systems. Using the CSE framework, we explored over one trillion combinations of components and parameter values for a biomedical information system evaluated on TREC Genomics datasets, and achieved results which are significantly better than prior published work.
5628-4000 ext 3614