Announcing the Computational & Applied Sciences Colloquium Series

Monday, April 23, 2001
Center for Environmental Sciences & Technology Management (CESTM) Auditorium
University at Albany
4 p.m. to 6 p.m.

Refreshments Served
Sponsored by the University at Albany�s Division for Research

Complexity of Natural Language

Is it possible to estimate the difficulty of creating natural language applications? This problem is of growing practical and theoretical interest. One measure of complexity is the number of objects and relations in the domain of consideration. However, for practical applications, measures of complexity must take into account accuracy of processing, relationship to world knowledge, evaluations, etc. The talk surveys initial results in the field and describes research issues ranging from purely mathematical and linguistic to technological. As part of the presentation, we will discuss parallel processing of natural language.

Wlodek Zadrozny is currently working with IBM Research Technical Strategy Team on new technology directions and technical planning. Until last July, he managed the Conversational Machines project at IBM T.J. Watson Research Center. The project aims at inventing key technologies and building Web-based dialog interfaces for electronic commerce and customer support. Previously, the Conversational Machines group has built a number of successful prototypes of conversational telephony systems for telephony banking and directory assistance.

Wlodek Zadrozny received a Ph.D. in mathematics from Polish Academy of Sciences. He is a past recipient of the Alexander von Humboldt Fellowship and Haskell B. Curry Fellowship. He has worked at Watson since 1985 and published over 50 scientific papers and patents in various areas of computer science. His current interests include business applications of intelligent technologies, complexity of natural language systems and theories of context.

For directions to CESTM go to https://www.albany.edu/about_the_university/maps/uptown.html.

For additional information call (518) 442-3332.

University at Albany