Adding dense, weighted connections to WordNet
WORDNET, a ubiquitous tool for natural language processing, suffers from sparsity of connections between its component concepts (synsets). Through the use of human annotators, a subset of the connections between 1000 hand-chosen synsets was assigned a value of “evocation” representing how much the first concept brings to mind the second. These data, along with existing similarity measures, constitute the basis of a method for predicting evocation between previously unrated pairs. Submission Type:Long Article Topic Areas: Extending WORDNET Author of Record: Jordan Boyd-Graber, jbg@princeton.edu Under consideration for other conferences (specify)?None Adding Dense, Weighted Connections to WORDNET