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IJCAI
2007
14 years 9 days ago
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 (NE...
Yingchuan Wong, Hwee Tou Ng
ACL
2008
14 years 10 days ago
Inducing Gazetteers for Named Entity Recognition by Large-Scale Clustering of Dependency Relations
We propose using large-scale clustering of dependency relations between verbs and multiword nouns (MNs) to construct a gazetteer for named entity recognition (NER). Since dependen...
Jun'ichi Kazama, Kentaro Torisawa
NAACL
2010
13 years 8 months ago
Crowdsourcing the evaluation of a domain-adapted named entity recognition system
Named entity recognition systems sometimes have difficulty when applied to data from domains that do not closely match the training data. We first use a simple rule-based techniqu...
Asad B. Sayeed, Timothy J. Meyer, Hieu C. Nguyen, ...
SIGIR
2010
ACM
13 years 9 months ago
Incorporating global information into named entity recognition systems using relational context
The state-of-the-art in Named Entity Recognition relies on a combination of local features of the text and global knowledge to determine the types of the recognized entities. This...
Yuval Merhav, Filipe de Sá Mesquita, Denils...