Patents by Inventor Elizabeth ROMAN

Elizabeth ROMAN has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Systems and methods for deviation detection, information extraction and obligation deviation detection
    Patent number: 11886814
    Abstract: The present disclosure is directed towards systems and methods for detecting deviations between documents and portions thereof, extracting information from text and detecting deviations between obligations. Information is extracted by identifying defined terms and their definitions in input text as well as by identifying portions of different input texts relevant to a point of interest and detecting deviations in those portions between the different input texts.
    Type: Grant
    Filed: January 23, 2021
    Date of Patent: January 30, 2024
    Assignee: THOMSON REUTERS ENTERPRISE CENTRE GMBH
    Inventors: Sally Gao, Hella-Franziska Hoffmann, Nina Hristozova, Elizabeth Roman, Nicolai Pogrebnyakov, Yue Feng, Masoud Makrehchi, Tate Sterling Avery, Shohreh Shaghaghian, Borna Jafarpour
  • SYSTEMS AND METHODS FOR DOCUMENT DEVIATION DETECTION
    Publication number: 20230409623
    Abstract: The present disclosure is directed towards systems and methods for detecting deviations from a standard document in a document being analyzed. The inventive systems and methods include performing a first level analysis to detect portions of a standard that are identical to, similar to, deleted from, and added to a document being evaluated. A second level analysis may be applied to those portions of the standard that are similar, but not identical to, portions of the document being evaluated to assist a user in identifying similarities and differences between the two portions of text.
    Type: Application
    Filed: June 20, 2023
    Publication date: December 21, 2023
    Applicant: Thomson Reuters Enterprise Centre GmbH
    Inventors: Elizabeth ROMAN, Hella-Franziska HOFFMANN, Josh LEMAITRE, Nikolai NEFEDOV, David VON RICKENBACH
  • Systems and methods for document deviation detection
    Patent number: 11681735
    Abstract: The present disclosure is directed towards systems and methods for detecting deviations from a standard document in a document being analyzed. The inventive systems and methods include performing a first level analysis to detect portions of a standard that are identical to, similar to, deleted from, and added to a document being evaluated. A second level analysis may be applied to those portions of the standard that are similar, but not identical to, portions of the document being evaluated to assist a user in identifying similarities and differences between the two portions of text.
    Type: Grant
    Filed: May 9, 2019
    Date of Patent: June 20, 2023
    Assignee: THOMSON REUTERS ENTERPRISE CENTRE GMBH
    Inventors: Elizabeth Roman, Hella-Franziska Hoffmann, Josh Lemaitre, Nikolai Nefedov, David Von Rickenbach
  • SYSTEMS AND METHODS FOR DEVIATION DETECTION, INFORMATION EXTRACTION AND OBLIGATION DEVIATION DETECTION
    Publication number: 20210350080
    Abstract: The present disclosure is directed towards systems and methods for detecting deviations between documents and portions thereof, extracting information from text and detecting deviations between obligations. Deviations are detected by splitting sentences in two documents apart, matching sentences from the different documents and detecting deviations between the matched sentences.
    Type: Application
    Filed: January 23, 2021
    Publication date: November 11, 2021
    Applicant: Thomson Reuters Enterprise Centre GmbH
    Inventors: Sally Gao, HELLA-FRANZISKA HOFFMANN, NINA HRISTOZOVA, ELIZABETH ROMAN, NICOLAI POGREBNYAKOV, YUE FENG, MASOUD MAKREHCHI, TATE STERLING AVERY, SHOHREH SHAGHAGHIAN, BORNA JAFARPOUR
  • SYSTEMS AND METHODS FOR DEVIATION DETECTION, INFORMATION EXTRACTION AND OBLIGATION DEVIATION DETECTION
    Publication number: 20210319180
    Abstract: The present disclosure is directed towards systems and methods for detecting deviations between documents and portions thereof, extracting information from text and detecting deviations between obligations. Deviations between sentences containing obligations are detected by classifying the sentences, identifying components of the obligations and identifying differences between the obligation components.
    Type: Application
    Filed: January 23, 2021
    Publication date: October 14, 2021
    Applicant: Thomson Reuters Enterprise Centre GmbH
    Inventors: Sally Gao, HELLA-FRANZISKA HOFFMANN, NINA HRISTOZOVA, ELIZABETH ROMAN, NICOLAI POGREBNYAKOV, YUE FENG, MASOUD MAKREHCHI, TATE STERLING AVERY, SHOHREH SHAGHAGHIAN, BORNA JAFARPOUR
  • SYSTEMS AND METHODS FOR DEVIATION DETECTION, INFORMATION EXTRACTION AND OBLIGATION DEVIATION DETECTION
    Publication number: 20210294974
    Abstract: The present disclosure is directed towards systems and methods for detecting deviations between documents and portions thereof, extracting information from text and detecting deviations between obligations. Information is extracted by identifying defined terms and their definitions in input text as well as by identifying portions of different input texts relevant to a point of interest and detecting deviations in those portions between the different input texts.
    Type: Application
    Filed: January 23, 2021
    Publication date: September 23, 2021
    Inventors: Sally Gao, HELLA-FRANZISKA HOFFMANN, NINA HRISTOZOVA, ELIZABETH ROMAN, NICOLAI POGREBNYAKOV, YUE FENG, MASOUD MAKREHCHI, TATE STERLING AVERY, SHOHREH SHAGHAGHIAN, BORNA JAFARPOUR
  • SYSTEMS AND METHODS FOR DOCUMENT DEVIATION DETECTION
    Publication number: 20190347284
    Abstract: The present disclosure is directed towards systems and methods for detecting deviations from a standard document in a document being analyzed. The inventive systems and methods include performing a first level analysis to detect portions of a standard that are identical to, similar to, deleted from, and added to a document being evaluated. A second level analysis may be applied to those portions of the standard that are similar, but not identical to, portions of the document being evaluated to assist a user in identifying similarities and differences between the two portions of text.
    Type: Application
    Filed: May 9, 2019
    Publication date: November 14, 2019
    Applicant: Thomson Reuters Global Resources Unlimited Company
    Inventors: Elizabeth ROMAN, Hella HOFFMANN, Josh LEMAITRE, Nikolai NEFEDOV, David VON RICKENBACH