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EACL
2009
ACL Anthology

Analysing Wikipedia and Gold-Standard Corpora for NER Training

9 years 5 months ago
Analysing Wikipedia and Gold-Standard Corpora for NER Training
Named entity recognition (NER) for English typically involves one of three gold standards: MUC, CoNLL, or BBN, all created by costly manual annotation. Recent work has used Wikipedia to automatically create a massive corpus of named entity annotated text. We present the first comprehensive crosscorpus evaluation of NER. We identify the causes of poor cross-corpus performance and demonstrate ways of making them more compatible. Using our process, we develop a Wikipedia corpus which outperforms gold standard corpora on crosscorpus evaluation by up to 11%.
Joel Nothman, Tara Murphy, James R. Curran
Added 24 Nov 2009
Updated 24 Nov 2009
Type Conference
Year 2009
Where EACL
Authors Joel Nothman, Tara Murphy, James R. Curran
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