The Future of NLP: Traditional, Statistical,
and Table Lookup
Eduard
Hovy
Information Sciences Institute of the
University of Southern
California
UMIACS Computational Linguistics Colloquium
April 2, 2004, 9:45am,
AVW Room 2120
Presentation
describes the three types of HLT research -- traditional, statistical, and
table lookup. The newest NLP trend is to table-store
everything and just do lookup at run-time. Works better than anything else for MT, close
to best for factoid QA, and has the potential for most other applications too,
except perhaps summarization.
About the
Speaker:
EDUARD HOVY (PhD, Yale
University, 1987) is Associate Professor of Computer Science at the University of Southern California and of the University of Waterloo in Canada. He currently heads the Natural Language Group
at the Information Sciences Institute and is also Deputy Director of the
Intelligent Systems Division. His
research focuses on automated text summarization, question answering, text
planning and generation, the semi-automated construction of large lexicons and ontologies, and machine translation. Dr. Hovy is the
author or co-editor of five books and over 140 technical articles. In 2001, Dr. Hovy
served as President of the Association for Computational Linguistics (ACL) and
in 2001-03 as President of the International Association of Machine Translation
(IAMT). Dr. Hovy regularly co-teaches a course in the
Master's Degree Program in Computational Linguistics at the University of Southern California, as well as occasional short
courses on MT and other topics at universities and conferences. He has served on the Ph.D. and M.S.
committees for students from USC, Carnegie Mellon University, the Universities of
Toronto, Karlsruhe, Pennsylvania, Stockholm, Waterloo, Nijmegen, Pretoria, and Ho Chi Minh
City.
For
the colloquium series schedule, see the UMD Computational http://www.umiacs.umd.edu/research/CLIP/colloq/. If you are interested in meeting with the
speaker, please contact Doug <http://www.glue.umd.edu/~oard/> Oard (oard@umiacs.umd.edu <mailto:oard@umiacs.umd.edu> ).