Paper: Language Independent NER Using A Unified Model Of Internal And Contextual Evidence

ACL ID W02-2007
Title Language Independent NER Using A Unified Model Of Internal And Contextual Evidence
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2002
Authors

This paper investigates the use of a language inde- pendent model for named entity recognition based on iterative learning in a co-training fashion, using word-internal and contextual information as inde- pendent evidence sources. Its bootstrapping pro- cess begins with only seed entities and seed con- texts extracted from the provided annotated corpus. F-measure exceeds 77 in Spanish and 72 in Dutch.