Patents Assigned to SAMURAI LABS SP. Z O.O.
  • Patent number: 11663403
    Abstract: Embodiments include computer-implemented methods and systems for detecting undesirable and potentially harmful online behavior. The embodiments described and claimed could also be applied to detecting any other type of online behavior to be detected, but the descriptions focuses on detecting online violence. More particularly, the embodiments disclosed relate to detecting online violence using symbolic methods of natural language processing (NLP) that utilize and govern the usage of: 1) syntactic parser for analyzing grammatical context of the input text data, 2) unsupervised learning methods for improving selected aspects of the system and adjusting the system to new data sources and guidelines, and 3) statistical classifiers for resolving specific well-defined sub-tasks, in which statistical approaches surpass the symbolic methods.
    Type: Grant
    Filed: October 18, 2022
    Date of Patent: May 30, 2023
    Assignee: SAMURAI LABS SP. Z O.O.
    Inventors: Michal Wroczynski, Gniewosz Leliwa
  • Publication number: 20230058640
    Abstract: Embodiments include computer-implemented methods and systems for detecting undesirable and potentially harmful online behavior. The embodiments described and claimed could also be applied to detecting any other type of online behavior to be detected, but the descriptions focuses on detecting online violence. More particularly, the embodiments disclosed relate to detecting online violence using symbolic methods of natural language processing (NLP) that utilize and govern the usage of: 1) syntactic parser for analyzing grammatical context of the input text data, 2) unsupervised learning methods for improving selected aspects of the system and adjusting the system to new data sources and guidelines, and 3) statistical classifiers for resolving specific well-defined sub-tasks, in which statistical approaches surpass the symbolic methods.
    Type: Application
    Filed: October 18, 2022
    Publication date: February 23, 2023
    Applicant: Samurai Labs sp. z o.o.
    Inventors: Michal Wroczynski, Gniewosz Leliwa
  • Patent number: 11507745
    Abstract: Embodiments include computer-implemented methods and systems for detecting undesirable and potentially harmful online behavior. The embodiments described and claimed could also be applied to detecting any other type of online behavior to be detected, but the descriptions focuses on detecting online violence. More particularly, the embodiments disclosed relate to detecting online violence using symbolic methods of natural language processing (NLP) that utilize and govern the usage of: 1) syntactic parser for analyzing grammatical context of the input text data, 2) unsupervised learning methods for improving selected aspects of the system and adjusting the system to new data sources and guidelines, and 3) statistical classifiers for resolving specific well-defined sub-tasks, in which statistical approaches surpass the symbolic methods.
    Type: Grant
    Filed: September 17, 2021
    Date of Patent: November 22, 2022
    Assignee: SAMURAI LABS SP. Z O.O.
    Inventors: Michal Wroczynski, Gniewosz Leliwa
  • Publication number: 20220004710
    Abstract: Embodiments include computer-implemented methods and systems for detecting undesirable and potentially harmful online behavior. The embodiments described and claimed could also be applied to detecting any other type of online behavior to be detected, but the descriptions focuses on detecting online violence. More particularly, the embodiments disclosed relate to detecting online violence using symbolic methods of natural language processing (NLP) that utilize and govern the usage of: 1) syntactic parser for analyzing grammatical context of the input text data, 2) unsupervised learning methods for improving selected aspects of the system and adjusting the system to new data sources and guidelines, and 3) statistical classifiers for resolving specific well-defined sub-tasks, in which statistical approaches surpass the symbolic methods.
    Type: Application
    Filed: September 17, 2021
    Publication date: January 6, 2022
    Applicant: Samurai Labs sp. z o.o.
    Inventors: Michal Wroczynski, Gniewosz Leliwa
  • Publication number: 20210248316
    Abstract: Embodiments include computer-implemented methods and systems for detecting undesirable and potentially harmful online behavior. The embodiments described and claimed could also be applied to detecting any other type of online behavior to be detected, but the descriptions focuses on detecting online violence. More particularly, the embodiments disclosed relate to detecting online violence using symbolic methods of natural language processing (NLP) that utilize and govern the usage of: 1) syntactic parser for analyzing grammatical context of the input text data, 2) unsupervised learning methods for improving selected aspects of the system and adjusting the system to new data sources and guidelines, and 3) statistical classifiers for resolving specific well-defined sub-tasks, in which statistical approaches surpass the symbolic methods.
    Type: Application
    Filed: March 3, 2021
    Publication date: August 12, 2021
    Applicant: Samurai Labs sp. z o.o.
    Inventors: Michal Wroczynski, Gniewosz Leliwa
  • Patent number: 10956670
    Abstract: Embodiments include computer-implemented methods and systems for detecting undesirable and potentially harmful online behavior. The embodiments described and claimed could also be applied to detecting any other type of online behavior to be detected, but the descriptions focuses on detecting online violence. More particularly, the embodiments disclosed relate to detecting online violence using symbolic methods of natural language processing (NLP) that utilize and govern the usage of: 1) syntactic parser for analyzing grammatical context of the input text data, 2) unsupervised learning methods for improving selected aspects of the system and adjusting the system to new data sources and guidelines, and 3) statistical classifiers for resolving specific well-defined sub-tasks, in which statistical approaches surpass the symbolic methods.
    Type: Grant
    Filed: March 1, 2019
    Date of Patent: March 23, 2021
    Assignee: SAMURAI LABS SP. Z O.O.
    Inventors: Michal Wroczynski, Gniewosz Leliwa