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Evidence and declaration combined extraction method for fact detection

A technology of evidence and fact, applied in the field of joint extraction of evidence and statement for fact detection, can solve problems such as inability to accurately find evidence

Active Publication Date: 2021-03-30
SUN YAT SEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In order to overcome the defect that the evidence cannot be accurately searched in the fact detection process described in the prior art, the present invention provides a method for joint extraction of evidence and statements oriented to fact detection

Method used

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  • Evidence and declaration combined extraction method for fact detection
  • Evidence and declaration combined extraction method for fact detection
  • Evidence and declaration combined extraction method for fact detection

Examples

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Embodiment 1

[0071] This embodiment provides a method for joint extraction of evidence and statement oriented to fact detection, and the method includes the following steps:

[0072] The method comprises the steps of:

[0073] S1: Specify the expected library for retrieval and a statement to be verified, clean the corpus, and perform entity extraction on the statement to obtain an entity set;

[0074] S2: Document retrieval: According to the statement to be verified, use the entity link method to retrieve and construct the corresponding candidate document set from the cleaned corpus according to the entity set, and use all the sentences in the set as the candidate sentence set;

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Abstract

The invention relates to an evidence and declaration combined extraction method for fact detection. The method comprises the following steps: S1, specifying a pre-material library for retrieval and asection of to-be-verified declaration, cleaning a corpus, and performing entity extraction on the declaration to obtain an entity set; S2: carrying out document retrieval: for a given declaration, retrieving and constructing a corresponding candidate document set from the cleaned corpus by using an entity linking method according to the entity set, and taking all sentences in the set as a candidate sentence set; and S3, constructing evidences based on a greedy strategy evidence search method, using a pre-trained language model BERT as an evaluation model of the evidences, and training and testing the evaluation model to obtain final target evidences and categories. According to the invention, the evidence searching accuracy can be effectively improved.

Description

technical field [0001] The invention relates to the field of automatic fact detection, in particular to a method for joint extraction of evidence and statement oriented to fact detection. Background technique [0002] The purpose of automatic fact detection work is to enable computers to automatically identify and filter false information on the Internet to ensure the authenticity and reliability of information. With the successful application of deep learning in natural language processing in recent years, more and more research efforts have tried to combine deep learning technology into automatic fact checking and achieved good results. The fact detection task is a kind of automatic fact detection task. This task is used to determine the authenticity of a given statement. There are two goals involved: (1) Evidence mining, that is, for a given statement, retrieve it from Wikipedia The sentence set with the highest degree of correlation with the statement is used as evidenc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/215G06F16/2458G06F16/23G06F16/28G06F40/30
CPCG06F16/215G06F16/2465G06F16/23G06F16/285G06F40/30
Inventor 万海陈海城黄佳莉曾娟赵杭
Owner SUN YAT SEN UNIV