Text relationship extraction method and device, computer equipment and storage medium

A technology of relation extraction and text, applied in the computer field, can solve the problems of heavy workload and low extraction efficiency, and achieve the effect of improving work efficiency and increasing recall rate

Pending Publication Date: 2020-06-23
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
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  • Application Information

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Problems solved by technology

[0005] In view of this, this application provides a method, device, computer equipment and storage medium for extracting textual relatio

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  • Text relationship extraction method and device, computer equipment and storage medium
  • Text relationship extraction method and device, computer equipment and storage medium
  • Text relationship extraction method and device, computer equipment and storage medium

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Embodiment Construction

[0026] Hereinafter, the present application will be described in detail with reference to the accompanying drawings and embodiments. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0027] Aiming at the current problem of heavy workload and low extraction efficiency when extracting textual relations, the embodiment of the present application provides a method for extracting textual relations, such as figure 1 As shown, the method includes:

[0028] 101. Train an entity extraction model for extracting entity classes in text.

[0029] For this embodiment, in a specific application scenario, it is necessary to pre-train the generated entity extraction model to automatically extract entity classes contained in the text. Among them, the rapid entity extraction model is mainly based on the Jieba natural language processing library to segment the text and perform pa...

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Abstract

The invention discloses a text relationship extraction method and device, computer equipment and a storage medium, relates to the technical field of computers, and can solve the problems of large workload and low text extraction efficiency during text relationship extraction. The method comprises the steps: training an entity extraction model used for extracting entity classes in a text; extracting each target entity in a to-be-extracted text by utilizing the entity extraction model meeting a preset standard; constructing a target entity pair based on a full combination method, and inputting the target entity pair into a relationship extraction model to obtain a corresponding relationship identification result; verifying the relationship identification result by using a reading understanding model; and if it is judged that the relationship identification results corresponding to the target entity pairs pass verification, integrating and outputting the relationship identification results. The method and the device are suitable for extracting the text relationship.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a text relation extraction method, device, computer equipment and storage medium. Background technique [0002] The relationship extraction technology is used to judge the relationship type of two entities appearing in a given context, and then form a relationship triple, namely (entity A, entity B, relationship between A and B). Since the type needs to be determined in advance, relation extraction can be regarded as including two steps of entity extraction and relation classification. [0003] At present, relation extraction technology is mostly used in the field of information extraction and dialogue, combining named entity discovery, slot filling and other technologies to extract specified relation triples. [0004] However, when using existing methods for relationship extraction and classification, it is necessary to manually screen out the target entity for ...

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Application Information

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IPC IPC(8): G06F16/36G06F16/35
CPCG06F16/367G06F16/35
Inventor 朱昱锦徐国强
Owner PING AN TECH (SHENZHEN) CO LTD
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