Patents by Inventor Min Gwan SEO

Min Gwan SEO 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).

  • Apparatus for detecting contextually-anomalous sentence in document, method therefor, and computer-readable recording medium having program for performing same method recorded thereon
    Patent number: 11727703
    Abstract: Disclosed are an apparatus and a method for detecting whether an anomalous sentence having a context different from that of other sentences exists in a document. The apparatus for detecting a contextually-anomalous sentence in a document according to the present invention includes: a sentence encoder for encoding individual sentences constituting document data by means of a predetermined rule (function) to generate encoding vectors; a context embedder neural network for converting the generated encoding vector into embedding vectors corresponding thereto; and a context anomaly detector neural network for detecting whether an anomalous sentence exists in the converted document data.
    Type: Grant
    Filed: November 14, 2019
    Date of Patent: August 15, 2023
    Assignee: ESTSOFT CORP.
    Inventors: Hyeong Jin Byeon, Min Gwan Seo, Hae Bin Shin
  • APPARATUS FOR DETECTING CONTEXTUALLY-ANOMALOUS SENTENCE IN DOCUMENT, METHOD THEREFOR, AND COMPUTER-READABLE RECORDING MEDIUM HAVING PROGRAM FOR PERFORMING SAME METHOD RECORDED THEREON
    Publication number: 20220027608
    Abstract: Disclosed are an apparatus and a method for detecting whether an anomalous sentence having a context different from that of other sentences exists in a document. The apparatus for detecting a contextually-anomalous sentence in a document according to the present invention includes: a sentence encoder for encoding individual sentences constituting document data by means of a predetermined rule (function) to generate encoding vectors; a context embedder neural network for converting the generated encoding vector into embedding vectors corresponding thereto; and a context anomaly detector neural network for detecting whether an anomalous sentence exists in the converted document data.
    Type: Application
    Filed: November 14, 2019
    Publication date: January 27, 2022
    Inventors: Hyeong Jin BYEON, Min Gwan SEO, Hae Bin SHIN