Description of a Multilingual Database of Proper Names
PorTAL '02 Proceedings of the Third International Conference on Advances in Natural Language Processing
Finite-state transducer cascades to extract named entities in texts
Theoretical Computer Science - Implementation and application automata
Message Understanding Conference-6: a brief history
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Nested named entity recognition
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Recognition and normalization of some classes of named entities in Serbian
Proceedings of the Fifth Balkan Conference in Informatics
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In this paper we present a system for named entity recognition and tagging in Serbian that relies on large-scale lexical resources and finite-state transducers. Our system recognizes several types of name, temporal and numerical expressions. Finite-state automata are used to describe the context of named entities, thus improving the precision of recognition. The widest context was used for personal names and it included the recognition of nominal phrases describing a person's position. For the evaluation of the named entity recognition system we used a corpus of 2,300 short agency news. Through manual evaluation we precisely identified all omissions and incorrect recognitions which enabled the computation of recall and precision. The overall recall R = 0.84 for types and R = 0.93 for tokens, and overall precision P = 0.95 for types and P = 0.98 for tokens show that our system gives priority to precision.