Patents by Inventor Nicole Michel

Nicole Michel 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).

  • Patent number: 11157684
    Abstract: In non-limiting examples, the present disclosure is directed to systems and methods for performing an analysis of an electronic document comprising a review for a plurality of writing issues related to the electronic document's conformance to a specified target audience; causing, in an application associated with the electronic document, one or more flagged writing issues identified by the analysis of the electronic document to be displayed; receiving a selection of a flagged writing issue; and based on the selection of the flagged writing issue, causing, in a contextual menu, one or more alternative suggestions to replace text associated with the flagged writing issue to be displayed, the one or more alternative suggestions based, at least in part, on a fluency metric and a resemblance of the one or more alternative suggestions to the text associated with the flagged writing issue.
    Type: Grant
    Filed: November 17, 2016
    Date of Patent: October 26, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Kenichiro Chiba, Alfredo Arnaiz, Dermot McLoughlin, Nicole Michel, Hany G. Gerges, Michael Koenig, Maria Isabel R. Carpenter, Shikha Devesh Desai
  • Patent number: 10997408
    Abstract: Methods, systems, and media are shown for calculating an estimated amount of time needed to read a document. The estimate is based on historical session data. Reading sessions are identified in part by excluding sessions that include non-reading user behavior signals, such as adding text to the document, printing, or changing formatting. Reading sessions are further identified by generating session clusters based on shared attributes, and for each cluster, determining if a relationship exists between session time and the shared attribute. If a relationship exists, sessions are excluded if they don't fit the relationship. Once reading sessions are identified, coefficients for a formula are generated that are applied to an unseen document to estimate reading time. Each coefficient is associated with an element type. The coefficients are derived by iteratively analyzing documents with one unknown element type and subtracting out contributions of known element types.
    Type: Grant
    Filed: October 26, 2018
    Date of Patent: May 4, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Alessandro Curzi, Nicole Michel
  • Patent number: 10963626
    Abstract: In non-limiting examples of the present disclosure, systems and methods for providing customizable electronic document review options within electronic document processing applications are provided. An analysis of an electronic document may be performed comprising a review of an electronic document for a plurality of style issues, a plurality of spelling issues and a plurality of grammar issues. A proofing task pane having a plurality of selectable options may be displayed. A total number of identified issues associated with each of the plurality of style issues, the plurality of spelling issues and the plurality of grammar issues may be displayed in the task pane based on the analysis of the electronic document. A value associated with the electronic document may be calculated based on a fluency metric associated with the electronic document and an indication of the fluency value for the electronic document may be displayed in the task pane.
    Type: Grant
    Filed: November 4, 2016
    Date of Patent: March 30, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Kenichiro Chiba, Alfredo Arnaiz, Dermot McLoughlin, Nicole Michel, Hani Farouq Abu-Huwaij, Rolf Ebeling, Shikha Devesh Desai, Maria Isabel R. Carpenter, Jesse Clay Satterfield, Michael Koenig
  • Publication number: 20200097716
    Abstract: Methods, systems, and media are shown for calculating an estimated amount of time needed to read a document. The estimate is based on historical session data. Reading sessions are identified in part by excluding sessions that include non-reading user behavior signals, such as adding text to the document, printing, or changing formatting. Reading sessions are further identified by generating session clusters based on shared attributes, and for each cluster, determining if a relationship exists between session time and the shared attribute. If a relationship exists, sessions are excluded if they don't fit the relationship. Once reading sessions are identified, coefficients for a formula are generated that are applied to an unseen document to estimate reading time. Each coefficient is associated with an element type. The coefficients are derived by iteratively analyzing documents with one unknown element type and subtracting out contributions of known element types.
    Type: Application
    Filed: October 26, 2018
    Publication date: March 26, 2020
    Inventors: Alessandro CURZI, Nicole MICHEL
  • Publication number: 20170220536
    Abstract: In non-limiting examples, the present disclosure is directed to systems and methods for performing an analysis of an electronic document comprising a review for a plurality of writing issues related to the electronic document's conformance to a specified target audience; causing, in an application associated with the electronic document, one or more flagged writing issues identified by the analysis of the electronic document to be displayed; receiving a selection of a flagged writing issue; and based on the selection of the flagged writing issue, causing, in a contextual menu, one or more alternative suggestions to replace text associated with the flagged writing issue to be displayed, the one or more alternative suggestions based, at least in part, on a fluency metric and a resemblance of the one or more alternative suggestions to the text associated with the flagged writing issue.
    Type: Application
    Filed: November 17, 2016
    Publication date: August 3, 2017
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Kenichiro Chiba, Alfredo Arnaiz, Dermot McLoughlin, Nicole Michel, Hany G. Gerges, Michael Koenig, Maria Isabel R. Carpenter, Shikha Devesh Desai
  • Publication number: 20170220360
    Abstract: In non-limiting examples of the present disclosure, systems and methods for providing customizable electronic document review options within electronic document processing applications are provided. An analysis of an electronic document may be performed comprising a review of an electronic document for a plurality of style issues, a plurality of spelling issues and a plurality of grammar issues. A proofing task pane having a plurality of selectable options may be displayed. A total number of identified issues associated with each of the plurality of style issues, the plurality of spelling issues and the plurality of grammar issues may be displayed in the task pane based on the analysis of the electronic document. A value associated with the electronic document may be calculated based on a fluency metric associated with the electronic document and an indication of the fluency value for the electronic document may be displayed in the task pane.
    Type: Application
    Filed: November 4, 2016
    Publication date: August 3, 2017
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Kenichiro Chiba, Alfredo Arnaiz, Dermot McLoughlin, Nicole Michel, Hani Farouq Abu-Huwaij, Rolf Ebeling, Shikha Devesh Desai, Maria Isabel R. Carpenter, Jesse Clay Satterfield, Michael Koenig