BTM Topic Modeling Approach to Named Entity Linking

Abstract

Named entity link is the process of linking a given named entity in a document to an unambiguous entity in a knowledge base, including the merging of synonymous entities, disambiguation of ambiguous entities, etc. Firstly, the paper construct the named entity knowledge base by using the offline version of Wikipedia. We improve the MPM co word measure which only considers the co-occurrence frequency without considering the frequency of individual words so that it can calculate word co-occurrence coefficient. Secondly, we propose a method named entity BTM link based on topic model. Finally, the named entity in the given text is linked to an ambiguous named entity in the knowledge base.