Paper: Language Independent Named Entity Recognition Combining Morphological And Contextual Evidence

ACL ID W99-0612
Title Language Independent Named Entity Recognition Combining Morphological And Contextual Evidence
Venue 2000 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora
Session Main Conference
Year 1999
Authors

Identifying and classifying personal, geographic, in- stitutional or other names in a text is an impor- tant task for numerous applications. This paper de- scribes and evaluates a language-independent boot- strapping algorithm based on iterative learning and re-estimation of contextual and mOrphological pat- terns captured in hierarchically smoothed trie mod- els. The algorithm learns from unannotated text and achieves competitive performance when trained on a very short labelled name list with no other required language-specific information, tokenizers or tools.