Abstract: A computer-implemented system and method for identifying citations within regulatory content is disclosed. The method involves receiving image data representing a format and layout of the regulatory content, receiving a language embedding including a plurality of tokens representing words or characters in the regulatory content, and generating a token mapping associating each of the tokens with a portion of the image data. The method also involves receiving the plurality of tokens and token mapping at an input of a citation classifier, the citation classifier having been trained to generate a classification output for each token based on the language embedding and the token mapping, the classification output identifying a plurality of citation tokens within the plurality of tokens.
Type:
Grant
Filed:
August 16, 2021
Date of Patent:
April 7, 2026
Assignee:
Intelex Technologies, ULC
Inventors:
Mahdi Ramezani, Elijah Solomon Krag, Amir Abbas Tahmasbi, Margery Moore