Paper: Meta-Learning Orthographic And Contextual Models For Language Independent Named Entity Recognition

ACL ID W03-0431
Title Meta-Learning Orthographic And Contextual Models For Language Independent Named Entity Recognition
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2003
Authors

This paper presents a named entity classifica- tion system that utilises both orthographic and contextual information. The random subspace method was employed to generate and refine at- tribute models. Supervised and unsupervised learning techniques used in the recombination of models to produce the final results.