Paper: Clique-Based Clustering for Improving Named Entity Recognition Systems

ACL ID E09-1007
Title Clique-Based Clustering for Improving Named Entity Recognition Systems
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2009
Authors

We propose a system which builds, in a semi-supervised manner, a resource that aims at helping a NER system to anno- tate corpus-specific named entities. This system is based on a distributional ap- proach which uses syntactic dependen- cies for measuring similarities between named entities. The specificity of the presented method however, is to combine a clique-based approach and a clustering technique that amounts to a soft clustering method. Our experiments show that the resource constructed by using this clique- based clustering system allows to improve different NER systems.