Patents by Inventor Daniel Faddoul

Daniel Faddoul 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).

  • Data comparision using natural language processing models
    Patent number: 11775762
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for natural language processing. One of the methods includes the steps of receiving a first set of labeled data from a first data source; receiving a text string from a second data source; performing natural language processing on the text string to extract particular text portions and generate a second set of labeled data; performing a comparison between the first set of labeled data and the second set of labeled data; and generating an output based on the comparison.
    Type: Grant
    Filed: December 18, 2020
    Date of Patent: October 3, 2023
    Assignee: States Title, LLC
    Inventors: Erica K. Mason, Apoorv Sharma, Andy Mahdavi, Daniel Faddoul
  • Using serial machine learning models to extract data from electronic documents
    Patent number: 11594057
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for machine learning. One of the methods includes receiving a document having a plurality of first text strings; extracting the plurality of first text strings from the document; providing the extracted plurality of first text strings to a first machine learning model, wherein the first machine learning model is trained to output a numerical vector representation for each input first text string; providing the output vector representations from the first machine learning model to a second machine learning model, wherein the second machine learning model is trained to output a second text string for each input vector representation; and processing the second text strings to generate an output.
    Type: Grant
    Filed: May 4, 2022
    Date of Patent: February 28, 2023
    Assignee: States Title, Inc.
    Inventors: Allen Ko, Daniel Faddoul, Andy Mahdavi
  • Using serial machine learning models to extract data from electronic documents
    Patent number: 11341354
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for machine learning. One of the methods includes receiving a document having a plurality of first text strings; extracting the plurality of first text strings from the document; providing the extracted plurality of first text strings to a first machine learning model, wherein the first machine learning model is trained to output a numerical vector representation for each input first text string; providing the output vector representations from the first machine learning model to a second machine learning model, wherein the second machine learning model is trained to output a second text string for each input vector representation; and processing the second text strings to generate an output.
    Type: Grant
    Filed: September 30, 2020
    Date of Patent: May 24, 2022
    Assignee: States Title, Inc.
    Inventors: Allen Ko, Daniel Faddoul, Andy Mahdavi