Bootstrapping Deep Lexical Resources: Resources for Courses
Computation and Language
2007-09-18 v1
Abstract
We propose a range of deep lexical acquisition methods which make use of morphological, syntactic and ontological language resources to model word similarity and bootstrap from a seed lexicon. The different methods are deployed in learning lexical items for a precision grammar, and shown to each have strengths and weaknesses over different word classes. A particular focus of this paper is the relative accessibility of different language resource types, and predicted ``bang for the buck'' associated with each in deep lexical acquisition applications.
Cite
@article{arxiv.0709.2401,
title = {Bootstrapping Deep Lexical Resources: Resources for Courses},
author = {Timothy Baldwin},
journal= {arXiv preprint arXiv:0709.2401},
year = {2007}
}