C4.5: programs for machine learning
C4.5: programs for machine learning
Deterministic part-of-speech tagging with finite-state transducers
Computational Linguistics
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Automatic Rule Acquisition for Spelling Correction
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Combining Classifiers to Improve Part of Speech Tagging: A Case Study for Brazilian Portuguese
International Joint Conference, 7th Ibero-American Conference, 15th Brazilian Symposium on AI, IBERAMIA-SBIA 2000, Open Discussion Track Proceedings on AI
TnT: a statistical part-of-speech tagger
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
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
Feature-rich part-of-speech tagging with a cyclic dependency network
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Constrained atomic term: widening the reach of rule templates in transformation based learning
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
A machine learning approach to the identification of appositives
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
Comparing two markov methods for part-of-speech tagging of portuguese
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
Part-of-Speech tagging of portuguese based on variable length markov chains
PROPOR'06 Proceedings of the 7th international conference on Computational Processing of the Portuguese Language
Variable-length Markov models and ambiguous words in Portuguese
YIWCALA '10 Proceedings of the NAACL HLT 2010 Young Investigators Workshop on Computational Approaches to Languages of the Americas
Variable-length Markov models and ambiguous words in Portuguese
YIWCALA '10 Proceedings of the NAACL HLT 2010 Young Investigators Workshop on Computational Approaches to Languages of the Americas
A machine learning approach to Portuguese clause identification
PROPOR'10 Proceedings of the 9th international conference on Computational Processing of the Portuguese Language
ETL ensembles for chunking, NER and SRL
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
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Entropy Guided Transformation Learning (ETL) is a new machine learning strategy that combines the advantages of Decision Trees (DT) and Transformation Based Learning (TBL). In this work, we apply the ETL framework to Portuguese Part-of-Speech Taggging. We use two different corpora: Mac-Morpho and Tycho Brahae. ETL achieves the best results reported so far for Machine Learning based POS tagging of both corpora. ETL provides a new training strategy that accelerates transformation learning. For the Mac-Morpho corpus this corresponds to a factor of three speedup. ETL shows accuracies of 96.75% and 96.64% for Mac-Morpho and Tycho Brahae, respectively.