Internal and external evidence in the identification and semantic categorization of proper names
Corpus processing for lexical acquisition
Disambiguation of proper names in text
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Named Entity recognition without gazetteers
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Automatic semantic tagging of unknown proper names
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Evaluation of an algorithm for the recognition and classification of proper names
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
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AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
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MWE '04 Proceedings of the Workshop on Multiword Expressions: Integrating Processing
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A novel approach to automatic gazetteer generation using Wikipedia
People's Web '09 Proceedings of the 2009 Workshop on The People's Web Meets NLP: Collaboratively Constructed Semantic Resources
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CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
EAGER: extending automatically gazetteers for entity recognition
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Applying wikipedia's multilingual knowledge to cross-lingual question answering
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
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This paper presents a Named Entities (NE) recognition system for the English written language, which combines the wealth of the WordNet taxonomy and the effectiveness of traditional rule-based approaches. The core of the system relies on the combination of approximately 200 language-dependent rules with a set of predicates, defined on the WordNet hierarchy, for the identification of both proper nouns and trigger words. The strengths of this approach are twofold. First, the use of a semantic network allows it to cope with the difficulty of building and maintaining extensive gazetteers. Second, considering the recent spread of WordNet-like semantic networks for languages other than English and aligned with the English version, the use of language-independent predicates offers a useful basis for achieving multilinguality.