公开(公告)号：US10936664B2

公开(公告)日：2021-03-02

申请号：US16321988

申请日：2017-07-26

Applicant: National Institute of Information and Communications Technology

Inventor： Noriyuki Abe ,  Kanako Onishi ,  Kentaro Torisawa ,  Canasai Kruengkrai ,  Jonghoon Oh ,  Ryu Iida ,  Yutaka Kidawara

IPC: G06F16/9032 ,  G10L15/22 ,  G10L15/26

Abstract: A dialogue system includes: a question generating unit receiving an input sentence from a user and generating a question using an expression included in the input sentence, by using a dependency relation; an answer obtaining unit inputting the question generated by the question generating unit to a question-answering system and obtaining an answer to the question from question-answering system; and an utterance generating unit for generating an output sentence to the input sentence, based on the answer obtained by the answer obtaining unit.

公开(公告)号：US11176328B2

公开(公告)日：2021-11-16

申请号：US16629293

申请日：2018-06-14

Applicant: National Institute of Information and Communications Technology

Inventor： Jonghoon Oh ,  Kentaro Torisawa ,  Canasai Kruengkrai ,  Ryu Iida ,  Julien Kloetzer

IPC: G06F17/00 ,  G06F40/30 ,  G06F16/33 ,  G06F16/332 ,  G06N3/08

Abstract: A question answering device includes: a general word vector converter converting a question and an answer to semantic vectors in accordance with general context; a general sentence level CNN 214, in response to similarities of semantic vectors between words in question and answer and to strength of causality between the words, for weighting each semantic vector to calculate sentence level representations of the question and the answer; a general passage level CNN 218, in response to similarity between sentence level representations of question and answer, and to strength of relation of vectors in the sentence level representations viewed from causality, for weighting the sentence level representation to calculate a passage level representation for the question and answer passage; and a classifier determining whether or not an answer is a correct answer, based on the similarities between outputs from CNNs 214 and 218.

公开(公告)号：US12099801B2

公开(公告)日：2024-09-24

申请号：US17622798

申请日：2020-07-06

Applicant: National Institute of Information and Communications Technology

Inventor： Jonghoon Oh ,  Kazuma Kadowaki ,  Julien Kloetzer ,  Ryu Iida ,  Kentaro Torisawa

IPC: G06F40/20 ,  G06F16/2455 ,  G06F16/35 ,  G06F40/30

CPC classification number: G06F40/20 ,  G06F16/35 ,  G06F40/30

Abstract: A program for training a representation generator generating a representation representing an answer part included in a passage to classify whether the passage is related to an answer or not. The program causes a computer to operate as: a fake representation generator responsive to a question and a passage for outputting a fake representation representing an answer part of the passage; a real representation generator for outputting, for the question and a core answer, a real representation representing the core answer, in the same format as fake representation; a discriminator for discriminating whether fake representation and real representation are a real or fake representation; and a generative adversarial network unit training the discriminator and fake representation generator through generative adversarial network such that error determination of fake representation is maximized and error determination of real representation is minimized.

公开(公告)号：US11861307B2

公开(公告)日：2024-01-02

申请号：US17043069

申请日：2019-03-05

Applicant: National Institute of Information and Communications Technology

Inventor： Yoshihiko Asao ,  Ryu Iida ,  Canasai Kruengkrai ,  Noriyuki Abe ,  Kanako Onishi ,  Kentaro Torisawa ,  Yutaka Kidawara

IPC: G06F40/30 ,  G06F40/268 ,  G06N3/08 ,  G06F40/58 ,  G06N3/04

CPC classification number: G06F40/268 ,  G06F40/58 ,  G06N3/04 ,  G06N3/08

Abstract: A request paraphrasing system 120 allowing a dialogue system to flexibly address to requests in various different manners of expression includes: a pre-processing unit 130 converting a user input 56 to a word vector sequence; and a neural paraphrasing model 94 trained in advance by machine learning to receive the word vector sequence as an input and paraphrasing a request represented by the word vector sequence to a request having a higher probability of obtaining an answer from a question-answering device 122 than the request before paraphrasing. As pre-processing, whether the user input 56 is a request or not may be determined and it may be paraphrased only when it is determined to be a request. Further, a classification model 98 may classify the input request to determine to which request class it belongs, and the classification may be input as one feature to neural paraphrasing model 94.

公开(公告)号：US11106714B2

公开(公告)日：2021-08-31

申请号：US16610916

申请日：2018-05-07

Applicant: National Institute of Information and Communications Technology

Inventor： Ryu Iida ,  Kentaro Torisawa ,  Jonghoon Oh ,  Canasai Kruengkrai ,  Yoshihiko Asao ,  Noriyuki Abe ,  Junta Mizuno ,  Julien Kloetzer

IPC: G06F16/34 ,  G06F40/30 ,  G06F40/268 ,  G06N3/08 ,  G06F40/20

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.

公开(公告)号：US10157171B2

公开(公告)日：2018-12-18

申请号：US15544227

申请日：2016-01-20

Applicant: National Institute of Information and Communications Technology

Inventor： Ryu Iida ,  Kentaro Torisawa ,  Chikara Hashimoto ,  Jonghoon Oh ,  Kiyonori Ootake ,  Yutaka Kidawara

IPC: G06F17/22 ,  G06F17/24 ,  G06F17/27 ,  G06F17/28 ,  G06F3/0482

Abstract: An annotation data generation assisting system includes: an input/output device receiving an input through an interactive process; morphological analysis system 380 and dependency parsing system performing morphological and dependency parsing on text data in text archive; first to fourth candidate generating units detecting a zero anaphor or a referring expression in the dependency relation of a predicate in a sequence of morphemes, identifying a position as an object of annotation and estimating candidates of expressions to be inserted by using language knowledge; a candidate DB storing estimated candidates; and an interactive annotation device reading candidates of annotation from candidate DB and annotate a candidate selected by an interactive process by input/output device.