Using Automatic Word Sense Discrimination to generate a Semantic LexiconTweet
Speaker: Craig Pfeifer
Start: Monday, July 07, 2008, 11:00AM
Location: 325b ITE
Abstract: Automatic word sense discrimination is the process of distinguishing the
number of unique senses of a target word in a given corpus. This work
approaches word sense discrimination as an unsupervised clustering
problem on the context of the target word in web documents.
Using the features from the computed clusters, the system constructs a
new lexicon entry for the target word which includes the semantic and
syntactic constraints for each discriminated sense. The lexicon entries
are evaluated for precision and recall against sense inventories created
from three human dictionaries.
Host: Sergei Nirenburg,