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Entity relation extraction method and device

A technology of entity relationship and entity, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as semantic drift

Inactive Publication Date: 2018-03-09
BANK OF CHINA
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  • Summary
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  • Application Information

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Problems solved by technology

[0005] In view of this, this application provides a method and device for entity relationship extraction, which are used to solve the semantic drift problem existing in existing entity relationship extraction methods

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  • Entity relation extraction method and device
  • Entity relation extraction method and device

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Embodiment Construction

[0065] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0066] The embodiment of the present application discloses an entity relationship extraction scheme. By constructing a complete knowledge base, the knowledge base stores seed entity pairs with target relationships, and the attribute value of each sub-entity is complete, that is, it has The entities of the target relation are all stored in the knowledge base. Based on this, for the analyzed candidate relational patterns, use the corpus to determine the matching corpus of the candidat...

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Abstract

The invention discloses an entity relation extraction method and device. All entities having target relations with each sub-entity are stored in an obtained complete knowledge base, that is, attributevalues of all the stored sub-entities are complete, language data matched with an alternative relation mode obtained through analysis as well as entity pairs contained in the language data are determined through a corpus on the basis, the alternative relation has no semantic drift if the entity pairs exist in the knowledge base and can be determined as the target relation mode, and then the entity pair of a target relation is extracted according to the target relation mode. Understandably, the alternative relation mode has semantic drift if the entity pairs do not exist in the knowledge base,then the alternative relation mode is abandoned, and error propagation caused by iteration on the basis of the alternative relation mode is avoided.

Description

technical field [0001] The present application relates to the technical field of natural language processing, and more specifically, relates to an entity relationship extraction method and device. Background technique [0002] Entity relationship extraction is to extract entities of specified entity relationship from a large amount of corpus. Among them, the entity relationship refers to a certain connection between two entities in a certain space or a certain period of time, such as the birthplace of a person. Among them, a person and a place are two entities, and the relationship between the two entities is the place of birth. Relationship. [0003] The traditional entity relationship extraction method has bootstrap learning entity relationship extraction method. This method is based on a small number of instance seeds of the target relationship manually marked, extracts the corpus containing the instance seeds in the corpus, and analyzes the relational pattern of the co...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/3338G06F16/3344G06F16/367
Inventor 陈思佳
Owner BANK OF CHINA
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