Bootstrapping Deep Lexical Resources: Resources for Courses

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.

• Type: Journal
• Year: 2007
• Where: CORR
• Authors: Timothy Baldwin
• Keywords: CORR 2007, Deep Lexical Acquisition, Education, Language Resource, Lexical Acquisition Methods