Patents by Inventor Mengyan LU

Mengyan LU 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: 12229513
    Abstract: A technical document scanner disclosed herein determines and categorizes various common issues among a large number of documents. An implementation of the technical document scanner is implemented using various computer process instructions including scanning a technical document to extract content, applying named entity recognition on the extracted content from the technical document to extract named entities, applying relation extraction on the named entities to extract relations between the named entities, and analyzing the relations between the entities to compose lists of high relevance entities for issue checking.
    Type: Grant
    Filed: August 4, 2023
    Date of Patent: February 18, 2025
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Ying Suresh Wang, Min Li, Mengyan Lu
  • Publication number: 20230376692
    Abstract: A technical document scanner disclosed herein determines and categorizes various common issues among a large number of documents. An implementation of the technical document scanner is implemented using various computer process instructions including scanning a technical document to extract content, applying named entity recognition on the extracted content from the technical document to extract named entities, applying relation extraction on the named entities to extract relations between the named entities, and analyzing the relations between the entities to compose lists of high relevance entities for issue checking.
    Type: Application
    Filed: August 4, 2023
    Publication date: November 23, 2023
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Ying Suresh WANG, Min LI, Mengyan LU
  • Patent number: 11763088
    Abstract: A technical document scanner disclosed herein determines and categorizes various common issues among a large number of documents. An implementation of the technical document scanner is implemented using various computer process instructions including scanning a technical document to extract content, applying named entity recognition on the extracted content from the technical document to extract named entities, applying relation extraction on the named entities to extract relations between the named entities, and analyzing the relations between the entities to compose lists of high relevance entities for issue checking.
    Type: Grant
    Filed: March 31, 2022
    Date of Patent: September 19, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Ying Wang, Min Li, Mengyan Lu
  • Patent number: 11392772
    Abstract: A coding information extractor disclosed herein uses machine learning approach to extract coding information from documents. An implementation of the coding information extractor is implemented using various computer process instructions including scanning a document to generate a plurality of tokens, determining one or more features of the plurality of tokens using term frequency (TF), inverse document frequency (IDF), and code type similarity features, and determining field type, field name, and field value of the one or more of the tokens using named entity recognition (NER).
    Type: Grant
    Filed: December 25, 2018
    Date of Patent: July 19, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Ying Wang, Min Li, Mengyan Lu, Xiaoliang Shi
  • Publication number: 20220222443
    Abstract: A technical document scanner disclosed herein determines and categorizes various common issues among a large number of documents. An implementation of the technical document scanner is implemented using various computer process instructions including scanning a technical document to extract content, applying named entity recognition on the extracted content from the technical document to extract named entities, applying relation extraction on the named entities to extract relations between the named entities, and analyzing the relations between the entities to compose lists of high relevance entities for issue checking.
    Type: Application
    Filed: March 31, 2022
    Publication date: July 14, 2022
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Ying WANG, Min LI, Mengyan LU
  • Patent number: 11321529
    Abstract: A date extractor disclosed herein allows extracting dates and date ranges from documents. An implementation of the date extractor is implemented using various computer process instructions including scanning a document to generate a plurality of tokens, assigning labels to token using named entity recognition machine to generate a named entity vector, extracting dates from the named entity vector by comparing each of the named entities of the named entity vector to predetermined patterns of dates to generate a date vector, generating a plurality of date pairs from the date vector, and extracting date-ranges by comparing the plurality of date pairs to predetermined patterns of date ranges.
    Type: Grant
    Filed: December 25, 2018
    Date of Patent: May 3, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Ying Wang, Min Li, Mengyan Lu
  • Patent number: 11301633
    Abstract: A technical document scanner disclosed herein determines and categorizes various common issues among a large number of documents. An implementation of the technical document scanner is implemented using various computer process instructions including scanning a technical document to extract content, applying named entity recognition on the extracted content from the technical document to extract named entities, applying relation extraction on the named entities to extract relations between the named entities, and analyzing the relations between the entities to compose lists of high relevance entities for issue checking.
    Type: Grant
    Filed: December 25, 2018
    Date of Patent: April 12, 2022
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Ying Wang, Min Li, Mengyan Lu
  • Publication number: 20210326534
    Abstract: A date extractor disclosed herein allows extracting dates and date ranges from documents. An implementation of the date extractor is implemented using various computer process instructions including scanning a document to generate a plurality of tokens, assigning labels to token using named entity recognition machine to generate a named entity vector, extracting dates from the named entity vector by comparing each of the named entities of the named entity vector to predetermined patterns of dates to generate a date vector, generating a plurality of date pairs from the date vector, and extracting date-ranges by comparing the plurality of date pairs to predetermined patterns of date ranges.
    Type: Application
    Filed: December 25, 2018
    Publication date: October 21, 2021
    Inventors: Ying WANG, Min LI, Mengyan LU
  • Publication number: 20210312132
    Abstract: A coding information extractor disclosed herein uses machine learning approach to extract coding information from documents. An implementation of the coding information extractor is implemented using various computer process instructions including scanning a document to generate a plurality of tokens, determining one or more features of the plurality of tokens using term frequency (TF), inverse document frequency (IDF), and code type similarity features, and determining field type, field name, and field value of the one or more of the tokens using named entity recognition (NER).
    Type: Application
    Filed: December 25, 2018
    Publication date: October 7, 2021
    Inventors: Ying WANG, Min LI, Mengyan LU, Xiaoliang SHI
  • Publication number: 20210312131
    Abstract: A technical document scanner disclosed herein determines and categorizes various common issues among a large number of documents. An implementation of the technical document scanner is implemented using various computer process instructions including scanning a technical document to extract content, applying named entity recognition on the extracted content from the technical document to extract named entities, applying relation extraction on the named entities to extract relations between the named entities, and analyzing the relations between the entities to compose lists of high relevance entities for issue checking.
    Type: Application
    Filed: December 25, 2018
    Publication date: October 7, 2021
    Inventors: Ying WANG, Min LI, Mengyan LU