Patents by Inventor Junta MIZUNO

Junta MIZUNO 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: 11106714
    Abstract: A summary generating apparatus includes a text storage device storing text with information indicating a portion to be focused on; word vector converters vectorizing each word of the text and adding an element indicating whether the word is focused on or not to the vector and thereby converting the text to a word vector sequence; an LSTM implemented by a neural network performing sequence-to-sequence type conversion, pre-trained by machine learning to output, in response to each of the word vectors of the word vector sequence input in a prescribed order, a summary of the text consisting of the words represented by the word sequence; and input units inputting each of the word vectors of the word vector sequence in the prescribed order to the neural network.
    Type: Grant
    Filed: May 7, 2018
    Date of Patent: August 31, 2021
    Assignee: National Institute of Information and Communications Technology
    Inventors: Ryu Iida, Kentaro Torisawa, Jonghoon Oh, Canasai Kruengkrai, Yoshihiko Asao, Noriyuki Abe, Junta Mizuno, Julien Kloetzer
  • Patent number: 10755178
    Abstract: A credibility determining system enabling highly accurate credibility determination of given information includes causal relation knowledge DB 90 and search scope constraint DB 88. Causal relation knowledge each includes a combination of cause and result parts, and time and position constraints associated with the causal relation.
    Type: Grant
    Filed: March 1, 2017
    Date of Patent: August 25, 2020
    Assignee: National Institute of Information and Communications Technology
    Inventors: Junta Mizuno, Kentaro Torisawa, Kiyonori Ootake, Chikara Hashimoto
  • Publication number: 20200159755
    Abstract: A summary generating apparatus includes; a text storage device storing text with information indicating a portion to be focused on; word vector converters vectorizing each word of the text and adding an element indicating whether the word is focused on or not to the vector and thereby converting the text to a word vector sequence; an LSTM implemented by a neural network performing sequence-to-sequence type conversion, pre-trained by machine learning to output, in response to each of the word vectors of the word vector sequence input in a prescribed order, a summary of the text consisting of the words represented by the word sequence; and input units inputting each of the word vectors of the word vector sequence in the prescribed order to the neural network.
    Type: Application
    Filed: May 7, 2018
    Publication date: May 21, 2020
    Inventors: Ryu IIDA, Kentaro TORISAWA, Jonghoon OH, Canasai KRUENGKRAI, Yoshihiko ASAO, Noriyuki ABE, Junta MIZUNO, Julien KLOETZER
  • Publication number: 20170262754
    Abstract: A credibility determining system enabling highly accurate credibility determination of given information includes causal relation knowledge DB 90 and search scope constraint DB 88. Causal relation knowledge each includes a combination of cause and result parts, and time and position constraints associated with the causal relation.
    Type: Application
    Filed: March 1, 2017
    Publication date: September 14, 2017
    Inventors: Junta MIZUNO, Kentaro TORISAWA, Kiyonori OOTAKE, Chikara HASHIMOTO