Named entity recognition for Catalan using Spanish resources
Xavier Carreras, Lluı́s Màrquez, Lluís Padró · 2003
This work studies Named Entity Recog-nition (NER) for Catalan without mak-ing use of annotated resources of this language. The approach presented is based on machine learning techniques and exploits Spanish resources, either by first training models for Spanish and then translating them into Catalan, or by directly training bilingual models. The resulting models are retrained on unla-belled Catalan data using bootstrapping techniques. Exhaustive experimentation has been conducted on real data, show-ing competitive results for the obtained NER systems. 1