Year: 2000
Type: conference-paper
Abstract: In this paper, we present a lexical resource where WordNet synsets are annotated with Subject Field Codes.We discuss both the methodological issues we dealt with and the annotation techniques used.A quantitative analysis of the resource coverage, as well as a qualitative evaluation of the proposed annotations, are reported.
Authors: Bernardo Magnini, Gabriela Cavaglià
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W22702538
