Method, device and equipment for constructing causal relationship determination model

A causal relationship and model technology, applied in the field of deep learning, can solve problems such as low text recognition rate and achieve the effect of improving accuracy

Pending Publication Date: 2021-02-05
BEIJING XUEZHITU NETWORK TECH
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Problems solved by technology

[0004] In view of this, the object of the present invention is to provide a method, device and equipment for constructing a causal relationship determination model, which solves the problem of low recognition rate of texts with implicit causal relationships in the prior art

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  • Method, device and equipment for constructing causal relationship determination model
  • Method, device and equipment for constructing causal relationship determination model
  • Method, device and equipment for constructing causal relationship determination model

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[0041] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without...

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Abstract

The invention provides a method, device and equipment for constructing a causal relationship determination model. The method comprises the steps of obtaining an original corpus set, wherein the original corpus set comprises at least one first candidate text; screening a second candidate text in the original corpus set according to a target event causal relationship template; for each second candidate text, determining a statement vector of the second candidate text according to the word vector of each word and the word vector of each character in the second candidate text; and training a to-be-trained causal relationship determination model based on the statement vector of each second candidate text to obtain a trained causal relationship determination model. According to the invention, firstly, the words and the characters are used as representation forms for expressing semantics at the same time, the semantic expression accuracy is improved, and then the text with the recessive causal relationship can be effectively recognized by analyzing the semantics.

Description

technical field [0001] The present invention relates to the technical field of deep learning, in particular to a method, device and equipment for constructing a causality determination model. Background technique [0002] The causal relationship in Chinese contains many characteristics. First, the Chinese corpus has value sparsity, fragmentation and implication; second, an event may be the cause or the result in different contexts. Therefore, causal relationship identification is more difficult. [0003] In the prior art, the identification of causal relationship is mainly through the template matching method. Although the identification of causal relationship through template matching method has a high accuracy rate, it can only identify explicit causal relationship, and the identification rate of implicit causal relationship is low. Contents of the invention [0004] In view of this, the object of the present invention is to provide a method, device and equipment for co...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/30G06F40/242G06F40/253G06N3/04G06N3/08
CPCG06F40/30G06F40/242G06F40/253G06N3/08G06N3/048
Inventor 张茂洪
Owner BEIJING XUEZHITU NETWORK TECH
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