Language independent NER using a unified model of internal and contextual evidence
| Author(s) : | David Yarowsky Silviu Cucerzan, |
| Publisher : | N/A |
| Publication Date : | 2002 |
| ISSN : | N/A |
| Abstract : | This paper investigates the use of a language independent model for named entity recognition based on iterative learning in a co-training fashion, using word-internal and contextual information as independent evidence sources. Its bootstrapping process begins with only seed entities and seed contexts extracted from the provided annotated corpus. F-measure exceeds 77 in Spanish and 72 in Dutch. 1., |