Regulatory Text Augmentation for Ambiguity Resolution

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Solution Overview

Problem

Ambiguities in regulatory documents, such as those related to GDPR and HIPAA, lead to misinterpretations and compliance breaches due to the use of legalese and subjective human interpretation, which are error-prone and prone to accidental violations.

Innovation Solution

A processor-implemented method and system that uses predefined linguistic patterns to extract internal information and a Neural Network (NN) model to extract and summarize relevant external information, generating augmented text to clarify ambiguities in regulatory sentences, thereby reducing subjective interpretation and enhancing compliance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual intervention is used to analyze and interpret regulatory documents, then flexibility in understanding context is improved, but error rate and subjectivity increase

Engineering Contradiction:

Improvecontext understanding flexibilityVSAvoidinterpretation accuracy

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent introduces an automated text processing system as an intermediary between regulatory documents and human interpreters. This system uses natural language processing, linguistic pattern matching, and knowledge graph construction to objectively analyze regulatory text, extract entities, and identify ambiguities, thereby reducing human error while preserving the ability to understand context through structured analysis

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If automated text processing is used to analyze regulatory documents, then objectivity and consistency are improved, but ability to understand nuanced context deteriorates

Engineering Contradiction:

Improveinterpretation consistencyVSAvoidcontext understanding capability

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent replaces traditional mechanical text analysis methods with advanced computational approaches including neural networks, semantic analysis algorithms, and context-aware processing. These systems can detect subtle linguistic patterns, resolve ambiguities through multiple context sources, and maintain consistent interpretation while adapting to nuanced regulatory language

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent employs a composite analytical approach that combines multiple processing techniques: linguistic pattern matching, entity recognition, relationship extraction, and knowledge integration. This multi-layered system processes regulatory text through various analytical lenses simultaneously, achieving both consistency and contextual understanding

Inventive Principle:

Principle #40Composite materials

3Measurement precision

If regulatory language is written in formal legalese, then precision in defining requirements is improved, but ambiguity and difficulty of interpretation increase

Engineering Contradiction:

Improverequirement definition precisionVSAvoidinterpretation difficulty

Core Design Contradiction:

Measurement precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The patent introduces automated text processing systems as intermediaries that translate formal legalese into structured, analyzable formats. These systems use natural language processing to parse complex legal language, identify key requirements, and represent them in knowledge graphs that maintain precision while making the content more accessible and less ambiguous

Inventive Principle:

Principle #24Intermediary (Mediator)

4Adaptability or versatility

If subjective interpretation by experts is used, then nuanced understanding is improved, but reproducibility and fairness deteriorate

Engineering Contradiction:

Improvenuanced interpretation capabilityVSAvoidinterpretation reproducibility

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent implements feedback mechanisms where the automated system continuously refines its interpretation by comparing multiple sources, validating against known standards, and adjusting its analysis based on consistency checks. This creates a reproducible process that can be audited and verified while maintaining nuanced understanding through iterative refinement

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS11120221B2Method and system to resolve ambiguities in regulations

Publication Date: 2021.09.14 TATA CONSULTANCY SERVICES LTD

AI summary

Resolving ambiguities in regulatory documents is necessary to ensure organizations and people are able to be best possible compliant with regulations or standards. Current approaches attempting to automatically resolve ambiguities in regulatory documents have limitations when it comes to incorporating fairness or reduce chances of subjective interpretation. Embodiments of the present disclosure provide a method and system for automatically resolving ambiguities in regulations. To disambiguate a given regulatory sentence the method augments the regulation sentence with relevant internal information extracted using a set of predefined linguistic patterns and relevant external information extracted from external sources identified using a Neural Network (NN) model. The augmented text comprising the regulation sentence, the relevant internal information and the summarized relevant external information enables the end user to make an informed interpretation of the regulation sentence and resolve ambiguity present in the regulation sentence.