Method and system to resolve ambiguities in regulations

Abstract

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.