Improved Boosting Algorithms Using Confidence-rated Predictions
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
Learning and Inference for Clause Identification
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Reducing multiclass to binary: a unifying approach for margin classifiers
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Boosting trees for clause splitting
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
Wide-Coverage Spanish Named Entity Extraction
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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
Instance Filtering for entity recognition
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Introduction to the CoNLL-2002 shared task: language-independent named entity recognition
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CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
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Meta-learning orthographic and contextual models for language independent named entity recognition
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
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Combining data-driven systems for improving Named Entity Recognition
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EACL '06 Proceedings of the Eleventh Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
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NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
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A resource-based method for named entity extraction and classification
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NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
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NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
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Fine tuning features and post-processing rules to improve named entity recognition
NLDB'06 Proceedings of the 11th international conference on Applications of Natural Language to Information Systems
ETL ensembles for chunking, NER and SRL
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A joint model to identify and align bilingual named entities
Computational Linguistics
A Named Entity Recognition Method Based on Decomposition and Concatenation of Word Chunks
ACM Transactions on Asian Language Information Processing (TALIP)
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This paper presents a Named Entity Extraction (NEE) system for the CoNLL 2002 competition. The two main sub-tasks of the problem, recognition (NER) and classification (NEC), are performed sequentially and independently with separate modules. Both modules are machine learning based systems, which make use of binary AdaBoost classifiers.