A statistical profile of the Named Entity task
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Named entity chunking techniques in supervised learning for Japanese named entity recognition
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Hi-index | 0.00 |
Japanese was one of the languages selected for evaluation of named entity identification algorithms in the TIPSTER-sponsored Multilingual Entity Task (MET) program. As with the Spanish and Chinese groups (Table 1), Japanese systems automatically marked the names of organizations, people, and places within entity name expressions (ENAMEX), dates and times within time expressions (TIMEX), and percents and money within number expressions (NUMEX). The participant Japanese systems were developed in a four-month period of time and output results comparable to the Message Understanding Conference-6 (MUC-6) [1] English language systems with F-Measures between 70 - 90% [2].