Internal and external evidence in the identification and semantic categorization of proper names
Corpus processing for lexical acquisition
Automatic Rule Acquisition for Spelling Correction
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
FACILE: Classifying Texts Integrating Pattern Matching and Information Extraction
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Named Entity recognition without gazetteers
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Dialogue act tagging with Transformation-Based Learning
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
A rule-based approach to prepositional phrase attachment disambiguation
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Named entity recognition for Catalan using Spanish resources
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Introduction to the CoNLL-2002 shared task: language-independent named entity recognition
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
ACM Transactions on Asian Language Information Processing (TALIP)
Extracting comparative entities and predicates from texts using comparative type classification
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
International Journal of Data Mining and Bioinformatics
Transforming trees to improve syntactic convergence
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
A joint model to identify and align bilingual named entities
Computational Linguistics
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We describe our last results at the CoNLL2002 shared task of Named Entity Recognition and Classification using two approaches that we first applied to other NLL problems. We have been developing our own modified TBL learner initially to tackle the Part-of-Speech tagging problem, for integration in a hybrid NLL and rule- based system for information extraction (Ciravegna et al., 1999). After encouraging results in applying decision tree induction to the CoNLL2001 task of chunking, Jones (2002), where we attained an overall F- measure of 92.90 at this task, we have applied the same set-up to the NER task.