Patents by Inventor Dawid Andrzej Jurkiewicz

Dawid Andrzej Jurkiewicz 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).

  • ENCODER-DECODER TRANSFORMER FOR TABLE GENERATION
    Publication number: 20240086388
    Abstract: Systems and methods for generating tables are provided. The systems and methods perform operations comprising accessing a text document comprising a plurality of strings; processing the text document by a machine learning model to generate a table comprising a plurality of entries that organizes the plurality of strings into rows and columns over a plurality of iterations; and at each of the plurality of iterations, estimating by the machine learning model a first value of a first entry of the plurality of entries based on a second value of a second entry of the plurality of entries that has been determined in a prior iteration.
    Type: Application
    Filed: November 14, 2023
    Publication date: March 14, 2024
    Inventors: Lukasz Konrad Borchmann, Tomasz Dwojak, Lukasz Slawomir Garncarek, Dawid Andrzej Jurkiewicz, Michal Waldemar Pietruszka, Gabriela Klaudia Palka, Karolina Szyndler, Michal Turski
  • NATURAL LANGUAGE PROCESSING TEXT-IMAGE-LAYOUT TRANSFORMER
    Publication number: 20240028832
    Abstract: Disclosed herein is a system, method, and storage medium for Natural Language Processing (NLP) of real-world documents via a cloud data platform. The system combines three NLP models, including an encoder-decoder model, a spatial model, and a multi-modal model not previously combined. A text-image-layout transfer NLP system receives multi-modal input data and trains the multi-modal input data using the combination of the three NLP models.
    Type: Application
    Filed: July 31, 2023
    Publication date: January 25, 2024
    Applicant: APPLICA SP. Z O.O.
    Inventors: Lukasz Konrad Borchmann, Dawid Andrzej Jurkiewicz, Tomasz Dwojak, Michal Waldemar Pietruszka, Gabriela Klaudia Palka
  • Encoder-decoder transformer for table generation
    Patent number: 11860848
    Abstract: Systems and methods for generating tables are provided. The systems and methods perform operations comprising accessing a text document comprising a plurality of strings; processing the text document by a machine learning model to generate a table comprising a plurality of entries that organizes the plurality of strings into rows and columns over a plurality of iterations; and at each of the plurality of iterations, estimating by the machine learning model a first value of a first entry of the plurality of entries based on a second value of a second entry of the plurality of entries that has been determined in a prior iteration.
    Type: Grant
    Filed: January 9, 2023
    Date of Patent: January 2, 2024
    Assignee: Applica sp. z o.o.
    Inventors: Lukasz Konrad Borchmann, Tomasz Dwojak, Lukasz Slawomir Garncarek, Dawid Andrzej Jurkiewicz, Michal Waldemar Pietruszka, Gabriela Klaudia Palka, Karolina Szyndler, Michal Turski
  • ENCODER-DECODER TRANSFORMER FOR TABLE GENERATION
    Publication number: 20230297554
    Abstract: Systems and methods for generating tables are provided. The systems and methods perform operations comprising accessing a text document comprising a plurality of strings; processing the text document by a machine learning model to generate a table comprising a plurality of entries that organizes the plurality of strings into rows and columns over a plurality of iterations; and at each of the plurality of iterations, estimating by the machine learning model a first value of a first entry of the plurality of entries based on a second value of a second entry of the plurality of entries that has been determined in a prior iteration.
    Type: Application
    Filed: January 9, 2023
    Publication date: September 21, 2023
    Inventors: Lukasz Konrad Borchmann, Tomasz Dwojak, Lukasz Slawomir Garncarek, Dawid Andrzej Jurkiewicz, Michal Waldemar Pietruszka, Gabriela Klaudia Palka, Karolina Szyndler, Michal Turski
  • Text-image-layout transformer [TILT]
    Patent number: 11763087
    Abstract: Disclosed herein is a system and method for Natural Language Processing (NLP) of real world documents. The system and method combine various models not previously combined and overcome the challenges of this combination. Models include an encoder-decoder model, a spatial model, and a multi-modal model.
    Type: Grant
    Filed: February 16, 2022
    Date of Patent: September 19, 2023
    Assignee: APPLICA SP. Z.O.O.
    Inventors: Lukasz Konrad Borchmann, Dawid Andrzej Jurkiewicz, Tomasz Dwojak, Michal Waldemar Pietruszka, Gabriela Klaudia Palka
  • TEXT-IMAGE-LAYOUT TRANSFORMER [TILT]
    Publication number: 20220270311
    Abstract: Disclosed herein is a system and method for Natural Language Processing (NLP) of real world documents. the system and method combines various models not previously combined and overcomes the challenges of this combination. Models include an encoder-decoder model, a spatial model, and a multi-modal model.
    Type: Application
    Filed: February 16, 2022
    Publication date: August 25, 2022
    Applicant: Applica sp. z o.o.
    Inventors: Lukasz Konrad Borchmann, Dawid Andrzej Jurkiewicz, Tomasz Dwojak, Michal Waldemar Pietruszka, Gabriela Klaudia Palka