Phrase Verification Model for Statement Veracity
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Solution Overview
Problem
Existing natural language processing technologies face challenges in accurately verifying the veracity of statements, as they fail to provide detailed interpretations of verification results and lack granularity in evaluating the veracity of individual components within a statement.
Innovation Solution
A method involving the acquisition of training data, grammatical analysis to divide statements into phrases, and the training of phrase and statement verification models to determine the veracity of each phrase and the entire statement, respectively, providing an interpretation for the statement's veracity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing natural language processing technology is used to verify statement veracity, then the verification process can be performed, but the accuracy of the verification result is not satisfactory and detailed interpretation is not provided
Solution Approach 1:
The patent divides a statement into multiple phrases through grammatical analysis, and verifies each phrase separately using a phrase verification model. This segmentation allows the system to provide detailed interpretation of which specific phrases are supported or refuted by evidence, while maintaining high overall verification accuracy through the aggregation of phrase-level results.
2Ease of operation
If a statement is verified as a whole without phrase-level analysis, then the verification process is simpler, but the granularity of evaluation is insufficient and interpretation is limited
Solution Approach 1:
The system segments the statement into phrases and applies verification at both phrase level and statement level. The phrase verification model provides fine-grained evaluation with detailed interpretation, while the statement verification model aggregates these results to provide an overall verification conclusion, thus achieving both simplicity and precision.
Solution Approach 2:
The verification system employs a nested structure where phrase verification models are embedded within the statement verification framework. Each phrase verification result serves as input to the statement verification model, creating a hierarchical verification process that maintains both granular analysis capability and overall process coherence.
Data Source
AI summary
Implementations of the present disclosure provide a method, a device, and an apparatus for verifying a veracity of a statement, and a medium. In One method, includes: training data including a statement, an evidence set, and a label are acquired. The statement is divided into a plurality of phrases based on a grammatical analysis of the statement. A phrase verification model is trained based on the training data and the plurality of phrases, so that the phrase verification model determines a plurality of phrase veracities of the plurality of phrases respectively based on the evidence set. A statement verification model is trained based on the training data and the plurality of phrases, so that the statement verification model determines a statement veracity of the statement based on the evidence set, where the plurality of phrase veracities provide an interpretation for the statement veracity.