2005 | OriginalPaper | Buchkapitel
Constrained Atomic Term: Widening the Reach of Rule Templates in Transformation Based Learning
verfasst von : Cícero Nogueira dos Santos, Claudia Oliveira
Erschienen in: Progress in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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Within the framework of Transformation Based Learning (TBL), the rule template is one of the most important elements in the learning process. This paper presents a new model for TBL templates, in which the basic unit, denominated here as an atomic term (AT), encodes a variable sized window and a test that precedes the capture of a feature’s value. A case study of Portuguese NP identification is described and the experimental results obtained are presented.