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Text entity relationship recognition method and system, and medium

A technology of entity relationship and recognition method, which is applied in the direction of neural learning method, text database clustering/classification, unstructured text data retrieval, etc. It can solve the problems of entity recognition model with large amount of data labeling, and cannot be quickly applied to new fields.

Pending Publication Date: 2020-10-20
THE FOURTH PARADIGM BEIJING TECH CO LTD
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Problems solved by technology

[0005] The exemplary embodiment of the present invention aims to overcome the problems that the existing entity relationship recognition requires a large amount of data annotation and / or the entity recognition model cannot be quickly applied to new fields

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  • Text entity relationship recognition method and system, and medium
  • Text entity relationship recognition method and system, and medium
  • Text entity relationship recognition method and system, and medium

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Embodiment Construction

[0039] The following description with reference to the accompanying drawings is provided to assist in a comprehensive understanding of embodiments of the present invention as defined by the claims and their equivalents. Various specific details are included to aid in understanding but are to be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted for clarity and conciseness.

[0040] The text entity relationship recognition method, system, and medium of the exemplary embodiments of the present invention need to use a machine learning model to determine each entity in the query data set based on the support data set (support-set) and the query data set (query-set). The relationship type to which the pair belongs. The sup...

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Abstract

The invention provides a text entity relationship recognition method, a text entity relationship recognition system and a medium. The text entity relationship recognition method comprises the steps of: generating a support data set based on a reference text of a target domain, wherein the support data set comprises positive example entity pairs belonging to X preset specified relationship types and negative example entity pairs not belonging to the X preset specified relationship types; generating a query data set comprising at least one entity pair in a to-be-tested text of the target domain;and based on the support data set and the query data set, determining a relationship type to which each entity pair in the query data set belongs by using a machine learning model, wherein the machine learning model is pre-trained based on data of other domains except the target domain.

Description

technical field [0001] The present invention generally relates to the field of natural language processing, and more specifically relates to a text entity relationship recognition method, system and storage medium. Background technique [0002] Entity relationship recognition in text refers to the technology of extracting the implicit relationship between entities in text. There are two existing mainstream relationship recognition methods: [0003] (1) First, mark the relationship between entities in the text of the target field, train the entity recognition model according to the labeled corpus, and use the trained entity recognition model to recognize the entity relationship of the text to be tested in the target field. On the one hand, this entity relationship recognition method requires a large amount of labeled data, and on the other hand, it is only applicable to texts in the target field. Only by retraining the entity recognition model with the labeled corpus in the ...

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Application Information

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IPC IPC(8): G06F16/35G06F16/36G06F40/295G06N3/04G06N3/08G06N20/00
CPCG06F16/35G06F16/367G06F40/295G06N3/049G06N3/08G06N20/00G06N3/045
Inventor 何柳谢佳雨陈伟
Owner THE FOURTH PARADIGM BEIJING TECH CO LTD
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