Bootstrapping Deep Lexical Resources: Resources for Courses
| dc.creator | Baldwin, Timothy | |
| dc.date | 2007-09-15 | |
| dc.date.accessioned | 2026-07-07T08:29:49Z | |
| dc.date.available | 2026-07-07T08:29:49Z | |
| dc.description | 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. | |
| dc.identifier | https://arxiv.org/abs/0709.2401 | |
| dc.identifier | http://arxiv.org/abs/0709.2401 | |
| dc.identifier | In Proceedings of the ACL-SIGLEX 2005 Workshop on Deep Lexical Acquisition, Ann Arbor, USA, pp. 67-76 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/138077 | |
| dc.subject | Computation and Language | |
| dc.title | Bootstrapping Deep Lexical Resources: Resources for Courses | |
| dc.type | text |