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IJCAI
2007

One Class per Named Entity: Exploiting Unlabeled Text for Named Entity Recognition

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One Class per Named Entity: Exploiting Unlabeled Text for Named Entity Recognition
In this paper, we present a simple yet novel method of exploiting unlabeled text to further improve the accuracy of a high-performance state-of-theart named entity recognition (NER) system. The method utilizes the empirical property that many named entities occur in one name class only. Using only unlabeled text as the additional resource, our improved NER system achieves an F1 score of
Yingchuan Wong, Hwee Tou Ng
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where IJCAI
Authors Yingchuan Wong, Hwee Tou Ng
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