Word Sense Disambiguation in High Dimensional Spaces
Word Sense Disambiguation is the problem of determining the meaning of a word based on the context in which it is used. This is a long standing problem in Natural Language Processing, and is an important pre-requisite to many other important NLP problems. In this work the researchers take a corpus-based approach, where patterns of word usage in large samples of text are analyzed. The goal is to identify instances of a word that occur in similar contexts, since these are often have very similar or identical meanings.
A bibliography of this group’s publications is attached.
Return to this PI's main page.