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2008

Inducing Gazetteers for Named Entity Recognition by Large-Scale Clustering of Dependency Relations

11 years 6 months 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 dependency relations capture the semantics of MNs well, the MN clusters constructed by using dependency relations should serve as a good gazetteer. However, the high level of computational cost has prevented the use of clustering for constructing gazetteers. We parallelized a clustering algorithm based on expectationmaximization (EM) and thus enabled the construction of large-scale MN clusters. We demonstrated with the IREX dataset for the Japanese NER that using the constructed clusters as a gazetteer (cluster gazetteer) is a effective way of improving the accuracy of NER. Moreover, we demonstrate that the combination of the cluster gazetteer and a gazetteer extracted from Wikipedia, which is also useful for NER, can further improve the accuracy in several cases.
Jun'ichi Kazama, Kentaro Torisawa
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where ACL
Authors Jun'ichi Kazama, Kentaro Torisawa
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