Difference between revisions of "Analysing Wikipedia and Gold-Standard Corpora for Ner Training"
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== Overview == | == Overview == | ||
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. | 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. | ||
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| + | == Embed == | ||
| + | === Wikipedia Quality === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | Nothman, Joel; Murphy, Tara; Curran, James R.. (2009). "[[Analysing Wikipedia and Gold-Standard Corpora for Ner Training]]". Association for Computational Linguistics. DOI: 10.3115/1609067.1609135. | ||
| + | </nowiki> | ||
| + | </code> | ||
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| + | === English Wikipedia === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | {{cite journal |last1=Nothman |first1=Joel |last2=Murphy |first2=Tara |last3=Curran |first3=James R. |title=Analysing Wikipedia and Gold-Standard Corpora for Ner Training |date=2009 |doi=10.3115/1609067.1609135 |url=https://wikipediaquality.com/wiki/Analysing_Wikipedia_and_Gold-Standard_Corpora_for_Ner_Training |journal=Association for Computational Linguistics}} | ||
| + | </nowiki> | ||
| + | </code> | ||
| + | |||
| + | === HTML === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | Nothman, Joel; Murphy, Tara; Curran, James R.. (2009). &quot;<a href="https://wikipediaquality.com/wiki/Analysing_Wikipedia_and_Gold-Standard_Corpora_for_Ner_Training">Analysing Wikipedia and Gold-Standard Corpora for Ner Training</a>&quot;. Association for Computational Linguistics. DOI: 10.3115/1609067.1609135. | ||
| + | </nowiki> | ||
| + | </code> | ||
Revision as of 14:40, 22 December 2019
Authors | Joel Nothman Tara Murphy James R. Curran |
|---|---|
Publication date | 2009 |
DOI | 10.3115/1609067.1609135 |
Links | Original |
Analysing Wikipedia and Gold-Standard Corpora for Ner Training - scientific work related to Wikipedia quality published in 2009, written by Joel Nothman, Tara Murphy and James R. Curran.
Overview
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.
Embed
Wikipedia Quality
Nothman, Joel; Murphy, Tara; Curran, James R.. (2009). "[[Analysing Wikipedia and Gold-Standard Corpora for Ner Training]]". Association for Computational Linguistics. DOI: 10.3115/1609067.1609135.
English Wikipedia
{{cite journal |last1=Nothman |first1=Joel |last2=Murphy |first2=Tara |last3=Curran |first3=James R. |title=Analysing Wikipedia and Gold-Standard Corpora for Ner Training |date=2009 |doi=10.3115/1609067.1609135 |url=https://wikipediaquality.com/wiki/Analysing_Wikipedia_and_Gold-Standard_Corpora_for_Ner_Training |journal=Association for Computational Linguistics}}
HTML
Nothman, Joel; Murphy, Tara; Curran, James R.. (2009). "<a href="https://wikipediaquality.com/wiki/Analysing_Wikipedia_and_Gold-Standard_Corpora_for_Ner_Training">Analysing Wikipedia and Gold-Standard Corpora for Ner Training</a>". Association for Computational Linguistics. DOI: 10.3115/1609067.1609135.
