We discuss the contents, structure and uses of WordNet, a large
machine-tractable lexical database developed and maintained at Princeton.
This semantic network contains information about tens of
thousands of English lexicalized concepts.
WordNet enables automatic systems to "understand" the
meanings of words, to measure their semantic similarity, and to
disambiguate words with multiple meanings. A powerful
tool for Natural Language Processing, WordNet is used in a wide range of
applications including information retrieval, question answering,
machine translation and automatic reasoning and inference.
Date and Time
Wednesday February 27, 2008 4:15pm -
5:45pm
Location
Computer Science Small Auditorium (Room 105)
Event Type
Speaker
Christiane Fellbaum, from Princeton
Host
Robert Schapire