Paper: Named Entity Recognition Without Gazetteers

ACL ID E99-1001
Title Named Entity Recognition Without Gazetteers
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 1999

It is often claimed that Named En- tity recognition systems need extensive gazetteers--lists of names of people, or- ganisations, locations, and other named entities. Indeed, the compilation of such gazetteers is sometimes mentioned as a bottleneck in the design of Named En- tity recognition systems. We report on a Named Entity recogni- tion system which combines rule-based grammars with statistical (maximum en- tropy) models. We report on the sys- tem's performance with gazetteers of dif- ferent types and different sizes, using test material from the MUC-7 competition. We show that, for the text type and task of this competition, it is sufficient to use relatively small gazetteers of well-known names, rather than large gazetteers of low-frequency names. We conclude with observations about...