A maximum entropy approach to named entity recognition
A maximum entropy approach to named entity recognition
New models for improving supertag disambiguation
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Ranking algorithms for named-entity extraction: boosting and the voted perceptron
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COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Named Entity Extraction using AdaBoost
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Markov models for language-independent named entity recognition
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
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COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Learning with multiple stacking for named entity recognition
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Introduction to the CoNLL-2003 shared task: language-independent named entity recognition
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CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
Analysing Wikipedia and gold-standard corpora for NER training
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
ASKNet: automated semantic knowledge network
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
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IRQA '08 Coling 2008: Proceedings of the 2nd workshop on Information Retrieval for Question Answering
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SumQA '06 Proceedings of the Workshop on Task-Focused Summarization and Question Answering
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EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Named entity recognition in Wikipedia
People's Web '09 Proceedings of the 2009 Workshop on The People's Web Meets NLP: Collaboratively Constructed Semantic Resources
CRF-based active learning for Chinese named entity recognition
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
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ECIR'07 Proceedings of the 29th European conference on IR research
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SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
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Enrichment of named entities for image photo retrieval
AMR'09 Proceedings of the 7th international conference on Adaptive multimedia retrieval: understanding media and adapting to the user
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MWE '11 Proceedings of the Workshop on Multiword Expressions: from Parsing and Generation to the Real World
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RW'11 Proceedings of the 7th international conference on Reasoning web: semantic technologies for the web of data
Maximum entropy named entity recognition for Czech language
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
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CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
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RW'13 Proceedings of the 9th international conference on Reasoning Web: semantic technologies for intelligent data access
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Named Entity Recognition (NER) systems need to integrate a wide variety of information for optimal performance. This paper demonstrates that a maximum entropy tagger can effectively encode such information and identify named entities with very high accuracy. The tagger uses features which can be obtained for a variety of languages and works effectively not only for English, but also for other languages such as German and Dutch.