Entity linking method based on multi-domain entity indexes

An entity index and entity technology, applied in the field of information processing, to achieve the effect of solving the problem of entity linking

Active Publication Date: 2017-07-07
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, there is no entity linking method based on multi-domain entity index, combined with context similarity an

Method used

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  • Entity linking method based on multi-domain entity indexes
  • Entity linking method based on multi-domain entity indexes
  • Entity linking method based on multi-domain entity indexes

Examples

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Embodiment Construction

[0030] The present invention will be further described below in conjunction with the accompanying drawings.

[0031] like figure 1 Shown is a method of entity linking based on a multi-domain entity index, such as figure 1 As shown, the method includes the process of establishing a multi-domain index for the entities in the knowledge base, screening candidate entities based on the multi-domain index and using the context similarity score and popularity score to reorder the candidate entities and link entity references to the highest-scoring entity to the process.

[0032] Due to the limited number of entities included in the knowledge base, it may not be possible to find candidate entities for all entity references, so the entity references that meet this condition are defined as non-referential entity references, represented by NIL. We use m to represent the entity reference to be linked, and E to represent all entities in the knowledge base. The entity linking task is to li...

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Abstract

The present invention discloses an entity linking method based on multi-domain entity indexes. The method comprises two main steps: (1) establishing multi-domain indexes for the entities in the knowledge base; and (2) screening candidate entities based on the multi-domain indexes, reordering candidate entities by using context similarity scores and popularity scores, and linking an entity reference to the entity with the highest score. According to the method disclosed by the present invention, there is no need to search the candidate entities based on the alias dictionary, indexes for the subdomains with different attributes (relations)of entities in the knowledge base are established, and the candidate entities which are matched with the entity reference are obtained by searching the name domain; and for the preliminarily screened candidate entities, the context scores and the popularity scores of the candidate entities are calculated by using the information of other domain indexes, the candidate entities are reordered, and the entity reference is linked to the entity with the highest score.

Description

technical field [0001] The invention relates to a method for linking entity references extracted from text to corresponding entities in a knowledge base through a computer, and belongs to the technical field of information processing. Background technique [0002] At present, there is no entity linking method based on multi-domain entity index, combined with context similarity and entity popularity, but there are candidate entity discovery and linking methods based on thesaurus and ambiguity dictionary. [0003] Entity Linking refers to linking the entity reference extracted from the text to the corresponding entity in the knowledge base. Entity linking technology is beneficial to dig out valuable information from unstructured text, and has an important impact on computers understanding the true meaning of text. Specifically, entity linking can address the widespread entity diversity and ambiguity problems in unstructured texts. Entity diversity means that an entity can be...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/316G06F16/367
Inventor 李慧颖师京徐泽建赵畅
Owner SOUTHEAST UNIV
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