BDEI 3 - Participant Details: Eduard Hovy

Name:

Eduard Hovy

Affiliation:

USC-ISI

Bio

Eduard Hovy leads the Natural Language Research Group at the Information Sciences Institute (ISI) of the University of Southern California. He is also Director for Research of the Digital Government Research Center (DGRC), Deputy Director of ISI\'s Intelligent Systems Division, as well as a research associate professor of the Computer Science Departments of USC and of the University of Waterloo in Canada. He completed a Ph.D. in Computer Science (Artificial Intelligence) at Yale University in 1987. His research focuses on two principal areas: Natural Language Processing (NLP) and Digital Government. Within NLP, he has worked 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 150 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.

URLs:

http://www.isi.edu/natural-language/nlp-at-isi.html

http://www.isi.edu/~hovy.html

Work:

Regarding research, Dr. Hovy has (co-)directed several research projects in a diversity of topics:

- EDC and EDC-ML (1999-2003): Working with the Energy Information Administration, the Census Bureau, and the Bureau of Labor Statistics, this project developed an ontology-based solution to the problem of integrating numerous non-homogeneous databases. Ultimately, over 50,000 tables containing data about gasoline prices were integrated in a system that provided access via menus, English and Spanish natural language questions, and an ontology browser. This work jointly with members of Columbia University's Computer Science Department.

- OntoGrow (2002-04): Working with members of the Environmental Protection Agency in Washington, DC, this project investigates the automated extension of a domain ontology about pollution hazards and risks by analyzing domain glossaries and other texts and performing highly accurate clustering and ontology-oriented inference.

- eRulemaking (2003 and 2004-07): Working with the Department of Transportation in Washington, DC, this project investigates the development and use of sophisticated text analysis technology to handle the massive amounts of public comments collected during the regulation writing process. The analysis includes automated identification of and clustering by opinions, types of author, and technical sophistication of author. This project jointly with computer scientists at

Recommended URLs:

www.dgrc.org

http://www.isi.edu/~hovy.html

Sponsored by the National Science Foundation, U.S Geological Survey National Biological Information Infrastructure (NBII) and NASA.

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