Entity chain finger method and device, electronic device and storage medium

Abstract

The invention relates to an entity linking method and device, an electronic device and a storage medium, and the method comprises the steps: obtaining a first text, and determining a first entity to be linked in the first text; recalling a plurality of first entity chain fingers corresponding to the first entity from a preset entity library; the entity information corresponding to each first entity is input into a completely trained entity chain index prediction model, a second entity chain index corresponding to the first entity is obtained, and the entity chain index prediction model is trained based on a full-connection neural network and is trained to obtain an entity chain index of an entity corresponding to the entity information according to the input entity information; according to the similarity between the second entity chain finger and the multiple first entity chain fingers, the entity chain finger result is determined, through the method and device, the problem that the entity chain finger effect is poor when information or entities in the context are few in the related technology is solved, and the beneficial effects of reducing the search space and improving the entity chain finger accuracy are achieved.

Description

technical field [0001] The present application relates to the technical field of natural language processing, and in particular, to a method, an apparatus, an electronic apparatus and a storage medium for an entity chain finger. Background technique [0002] Entity Linking, also known as entity linking, is a new task of natural language processing, which is used to link the name that appears in the article to the entity of the specified generation, that is, it is necessary to point out that the object is in the knowledge base. The corresponding item in (Knowledge Base). [0003] In the entity chain referencing method in the related art, the entity chain referencing method based on literal and text similarity is based on Edit Distance, Dice Coeffi-cient, Jaccard Similarity and Cosine Similarity. (Cosine Similarity), relative entropy or KL divergence (Kullback-Leibler Divergence) and probabilistic model similarity (Probabilistic Model Similarity) and other indicators to calcu...

AI Technical Summary

Problems solved by technology

[0005] The present application provides an entity linking method, device, electronic device and storage medium to at least solve the problem in the related art that the effect of entity linking is poor when there is less information or entities in the context

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