Chinese integrated entity linking method based on graph model

Abstract

The present invention discloses a Chinese integrated entity linking method based on a graph model. An ambiguous entity in a text can be mapped into a specific entity in a real world, in order to provide aid for knowledge base expansion, information extraction and search engines. The method mainly comprises three parts of generating a candidate entity, constructing an entity indicator diagram, and disambiguating an integrated entity. For a given text, an entity referent item therein is recognized to obtain the candidate entity. The entity referent item and the candidate entity thereof are regarded as graph nodes to construct an entity referent graph. An in-degree and out-degree algorithm is applied to the entity indicator diagram for implementing disambiguation of multiple ambiguous entities in the text. The present invention does not depend on the knowledge base completely in the establishment of the entity indicator diagram, and also can implement incremental evidence mining to find evidence on an encyclopedia webpage. Dependence path analysis is employed to find the possibly related entity referent item. When the dependence path sizes of two entity referent items are within a set range, the two entity referent items are regarded as the possibly related entity referent items. Further, whether their candidate entities have relations in the real world is determined, so that the efficiency of disambiguation is greatly improved.

Description

technical field [0001] The invention relates to the field of natural language processing (NLP), in particular to entity linking, knowledge base extension, information extraction, question answering system and search engine optimization. Background technique [0002] The traditional Chinese entity linking method compares the context similarity between the entity referent and the candidate entity, and then selects the candidate with the highest similarity as the target object of the link. However, this method has defects. First, it does not take advantage of the semantic correlation between entities in the text, and this correlation can improve the accuracy of disambiguation to a large extent; second, the traditional Chinese entity linking method once Only one ambiguous entity can be disambiguated, the efficiency is low and the method of similarity comparison cannot achieve good results for short text entity links. [0003] Existing integrated entity linking methods consider ...

AI Technical Summary

Problems solved by technology

It is used to solve the defects of insufficient knowledge base and low efficiency of constructing entity indication graph in the existing entity linking method, and provides a more effective entity linking method

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