Year: 2010
Type: conference-paper
Abstract: LRs remain expensive to create and thus rare relative to demand across languages and technology types.The accidental re-creation of an LR that already exists is a nearly unforgiveable waste of scarce resources that is unfortunately not so easy to avoid.The number of catalogs the HLT researcher must search, with their different formats, make it possible to overlook an existing resource.This paper sketches the sources of this problem and outlines a proposal to rectify along with a new vision of LR cataloging that will to facilitates the documentation and exploitation of a much wider range of LRs than previously considered.
Institutions: Dublin City University, National Academies of Sciences, Engineering, and Medicine, Institute for Computational Linguistics “A. Zampolli”, National Research Council, University of Arizona, University of Colorado Boulder, University of Colorado System, Vassar College, Brandeis University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W1558332954