Abstract
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.
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dos Santos, C.N., Oliveira, C. (2005). Constrained Atomic Term: Widening the Reach of Rule Templates in Transformation Based Learning. In: Bento, C., Cardoso, A., Dias, G. (eds) Progress in Artificial Intelligence. EPIA 2005. Lecture Notes in Computer Science(), vol 3808. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11595014_61
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DOI: https://doi.org/10.1007/11595014_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30737-2
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