Collective Entity Linking Method in Chinese Text Based on Topic Consistency

Abstract

Entity Linking refers to the task of linking entity mentions in the given text with their referent entities in a knowledge base, which is a key technology of knowledge base expansion. However, the performance of traditional Chinese entity linking methods are affected by the incomplete Chinese knowledge base. Also they rarely use the semantic relevance between entities. Therefore, we propose a Chinese collective entity linking method based on the consistency of the topic, which considers both the content similarity and topic relevance of the co-occurrence entities, and propose a method for calculating the topic consistency of entities. This method implements batch links for multiple ambiguous entities that appear in the same text, and reduces the reliance on the local knowledge base by using the combination of the local knowledge base and the external knowledge base. Experimental results show that our method performs well over the traditional methods. And it is potentially effective.