Overview of NLP/AI Lab
The AI/NLP/HCI Laboratory has two components: the AI/NLP Lab located
in the Greenhouse on the main campus and the Applied Science and
Engineering Laboratory (ASEL) located at the A.I. duPont Institute. While the
focus of work in the Greenhouse is on artificial intelligence and
natural language processing and the focus of work at ASEL is on
human computer interaction and rehabilitation engineering, there is a
significant overlap in the research efforts and a number of researchers
have offices at both facilities. The following segments describe
work at the NLP/AI lab. For information on ASEL, click here.
AI/NLP LAB: Artificial Intelligence and Natural Language Processing Lab
The Greenhouse is just a 5 minute walk from the main department facilities
and includes faculty and graduate student offices,
a small conference room, Sun workstations, printers, and other
equipment. While most greenhouses nurture young plants, the Greenhouse
in the Computer Science Department is the site of innovative new
ideas and technology.
Laboratory research interests include knowledge representation,
planning, robotics, multi-agent systems,
intelligent tutoring systems, user modeling, medical informatics,
and all aspects of natural language processing and communication.
Close ties are maintained with researchers from linguistics, psychology,
and educational studies who have cognitive science interests.
The AI/NLP faculty are members of the
editorial boards of several major journals in the area of artificial
intelligence, have been program chair or members of program committees
for major conferences, have served as officer or a member of
the executive committee of professional societies, and
hosted the National Meeting of the Association for
Computational Linguistics in 1992.
The current four tenure-track faculty in the
lab will grow by one with the addition of a new assistant professor
in artificial intelligence in the fall of 1996.
The AI/NLP Lab is particularly well-known for its work in natural language
processing. Research projects have investigated foundational issues
in language and communication, algorithms for processing and generating
language, techniques for modeling extended dialogue, and the implementation
of communication systems. These projects have been extensively supported
by individual research grants from
the National Science Foundation, as well as a recent grant of over
$500,000 for graduate traineeships in natural language human-computer
interfaces.
In addition, a grant from the National Library of Medicine provides
support for research on information delivery in medical decision support
systems.
Maintained by Sandee Carberry
carberry@cis.udel.edu
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