Patents by Inventor AARON TRAYLOR

AARON TRAYLOR 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 enhanced review comprehension using domain-specific knowledgebases
    Patent number: 11934783
    Abstract: Disclosed embodiments relate to natural language processing. Techniques can include receiving input text, extracting, from the input text, at least one modifier and aspect pair, receiving data from a knowledgebase, based on the at least one modifier and aspect pair and commonsense data, generate one or more premise embeddings, convert the input text into tokens, generating at least one vector for one or more of the tokens based on an analysis of the tokens, combine the at least one vector with the one or more premise embeddings to create at least one combined vector, and analyze the at least one combined vector wherein the analysis generates an output indicative of a feature of the input text.
    Type: Grant
    Filed: April 4, 2023
    Date of Patent: March 19, 2024
    Assignee: RECRUIT CO., LTD.
    Inventors: Yoshihiko Suhara, Behzad Golshan, Yuliang Li, Chen Chen, Xiaolan Wang, Jinfeng Li, Wang-Chiew Tan, çagatay Demiralp, Aaron Traylor
  • SYSTEMS AND METHODS FOR ENHANCED REVIEW COMPREHENSION USING DOMAIN-SPECIFIC KNOWLEDGEBASES
    Publication number: 20230281390
    Abstract: Disclosed embodiments relate to natural language processing. Techniques can include receiving input text, extracting, from the input text, at least one modifier and aspect pair, receiving data from a knowledgebase, based on the at least one modifier and aspect pair and commonsense data, generate one or more premise embeddings, convert the input text into tokens, generating at least one vector for one or more of the tokens based on an analysis of the tokens, combine the at least one vector with the one or more premise embeddings to create at least one combined vector, and analyze the at least one combined vector wherein the analysis generates an output indicative of a feature of the input text.
    Type: Application
    Filed: April 4, 2023
    Publication date: September 7, 2023
    Inventors: Yoshihiko SUHARA, Behzad GOLSHAN, Yuliang LI, Chen CHEN, XIAOLAN WANG, JINFENG LI, WANG-CHIEW TAN, ÇAGATAY DEMIRALP, AARON TRAYLOR
  • Systems and methods for enhanced review comprehension using domain-specific knowledgebases
    Patent number: 11620448
    Abstract: Disclosed embodiments relate to natural language processing. Techniques can include receiving input text, extracting, from the input text, at least one modifier and aspect pair, receiving data from a knowledgebase, based on the at least one modifier and aspect pair and commonsense data, generate one or more premise embeddings, convert the input text into tokens, generating at least one vector for one or more of the tokens based on an analysis of the tokens, combine the at least one vector with the one or more premise embeddings to create at least one combined vector, and analyze the at least one combined vector wherein the analysis generates an output indicative of a feature of the input text.
    Type: Grant
    Filed: August 31, 2020
    Date of Patent: April 4, 2023
    Assignee: RECRUIT CO., LTD.
    Inventors: Yoshihiko Suhara, Behzad Golshan, Yuliang Li, Chen Chen, Xiaolan Wang, Jinfeng Li, Wang-Chiew Tan, Çağatay Demiralp, Aaron Traylor
  • SYSTEMS AND METHODS FOR ENHANCED REVIEW COMPREHENSION USING DOMAIN-SPECIFIC KNOWLEDGEBASES
    Publication number: 20220067282
    Abstract: Disclosed embodiments relate to natural language processing. Techniques can include receiving input text, extracting, from the input text, at least one modifier and aspect pair, receiving data from a knowledgebase, based on the at least one modifier and aspect pair and commonsense data, generate one or more premise embeddings, convert the input text into tokens, generating at least one vector for one or more of the tokens based on an analysis of the tokens, combine the at least one vector with the one or more premise embeddings to create at least one combined vector, and analyze the at least one combined vector wherein the analysis generates an output indicative of a feature of the input text.
    Type: Application
    Filed: August 31, 2020
    Publication date: March 3, 2022
    Inventors: Yoshihiko SUHARA, Behzad GOLSHAN, Yuliang LI, Chen CHEN, XIAOLAN WANG, JINFENG LI, WANG-CHIEW TAN, ÇAGATAY DEMIRALP, AARON TRAYLOR