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Conference papers
Named Entity Recognition for German Using Conditional Random Fields and Linguistic Resources
Abstract : This paper presents a Named Entity Recognition system for German based on Conditional Random Fields. The model also includes language-independent features and features computed form large coverage lexical resources. Along side the results themselves, we show that by adding linguistic resources to a probabilistic model, the results improve significantly.
Cited literature [11 references]
https://hal-upec-upem.archives-ouvertes.fr/hal-01402574
Contributor : Matthieu Constant Connect in order to contact the contributor
Submitted on : Thursday, November 24, 2016 - 7:31:23 PM
Last modification on : Saturday, January 15, 2022 - 3:58:11 AM
Long-term archiving on: : Monday, March 20, 2017 - 5:42:34 PM
Contributor : Matthieu Constant Connect in order to contact the contributor
Submitted on : Thursday, November 24, 2016 - 7:31:23 PM
Last modification on : Saturday, January 15, 2022 - 3:58:11 AM
Long-term archiving on: : Monday, March 20, 2017 - 5:42:34 PM
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