Deterministic part-of-speech tagging with finite-state transducers
Computational Linguistics
Shallow parsing with pos taggers and linguistic features
The Journal of Machine Learning Research
Efficient transformation-based parsing
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
A rule-based approach to prepositional phrase attachment disambiguation
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Transformation-based learning in the fast lane
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Independence and commitment: assumptions for rapid training and execution of rule-based POS taggers
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Coaxing confidences from an old friend: probabilistic classifications from transformation rule lists
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
TBL Template Selection: An Evolutionary Approach
Current Topics in Artificial Intelligence
Portuguese Part-of-Speech Tagging Using Entropy Guided Transformation Learning
PROPOR '08 Proceedings of the 8th international conference on Computational Processing of the Portuguese Language
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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.