Difference between revisions of "Klein et al, CONLL 2003"
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Revision as of 22:46, 30 November 2010
Citation
Dan Klein, Joseph Smarr, Huy Nguyen and Christopher D. Manning. 2003. Named Entity Recognition with Character-Level Model. In Proceedings of CoNLL-2003.
Online version
Summary
This paper describes a Conditional Random Fields approach to the Arabic Named Entity Recognition problem. Arabic is a highly inflectional language in which words can take both prefixes and suffixes. In addition to the complex morphology of Arabic, there is also the absence of capital letters which makes NER task even harder.
Previous to this paper, the authors were using Maximum Entropy model (Benajiba et al, CICLing 2007)
