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1.发明申请公开(公告)号：US20180366120A1
公开(公告)日：2018-12-20
申请号：US15989603
申请日：2018-05-25
Inventor： TAKASHI USHIO , KATSUYOSHI YAMAGAMI , MITSURU ENDO
Abstract: A speech continuation determination method includes acquiring dialogue data including a system sentence spoken to a user at a first time, a user sentence spoken by the user at a second time following the system sentence, and system intention indicating intention of the system sentence; estimating a predicted response delay amount indicating a wait time for a response to the user sentence by applying the dialogue data to a model obtained by machine learning; acquiring user status information indicating the status of the user; and determining whether a speech sentence by the user continues following the user sentence in accordance with the user status information in the wait time indicated by the predicted response delay amount.
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2.发明申请公开(公告)号：US20180158459A1
公开(公告)日：2018-06-07
申请号：US15821747
申请日：2017-11-22
Inventor： KATSUYOSHI YAMAGAMI , MITSURU ENDO , TAKASHI USHIO
Abstract: An information processing method for information stored in a storage includes: holding a dialog history of a dialog including a question to a user and a reply from the user to the question, determining whether a manner in which a third reply indicating neither a first reply nor a second reply appears in a reply history of the reply included in the held dialog history satisfies a predetermined condition, the first reply indicating an affirmative in response to the question, the second reply indicating a negative in response to the question; and performing presentation regarding the information stored in the storage if the manner is determined to satisfy the predetermined condition.
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3.发明申请公开(公告)号：US20180150553A1
公开(公告)日：2018-05-31
申请号：US15805915
申请日：2017-11-07
Inventor： MITSURU ENDO , KATSUYOSHI YAMAGAMI , TAKASHI USHIO
IPC: G06F17/30
CPC classification number: G06F16/3344 , G06F16/735 , G06F16/90332
Abstract: There is provided an information processing method for performing, through interaction with a user, narrowing down regarding information that the user desires to search for. The method includes: outputting a first question, which is an open question, about a target of search; obtaining a first answer to the first question, the first answer being input by the user; if a determination is made indicating that the first answer does not satisfy a first condition and that a word or phrase corresponding to a word or phrase included in the first answer is not included in a database, outputting a second question, which is an open question, for requesting an explanation about the word or phrase included in the first answer and not included in the database; and if a determination is made indicating that the first answer satisfies the first condition, outputting a closed question about the target of search.
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公开(公告)号：US20170084269A1
公开(公告)日：2017-03-23
申请号：US15262785
申请日：2016-09-12
Inventor： HONGJIE SHI , TAKASHI USHIO , MITSURU ENDO , KATSUYOSHI YAMAGAMI
CPC classification number: G10L15/16 , G06F17/2785 , G06N3/0454 , G10L15/063 , G10L2015/0635
Abstract: A subject estimation system includes a convolutional neural network to estimate a subject label of a dialog. The convolution neural network includes: one or more topic-dependent convolutional layers and one topic-independent convolutional layer, each of the one or more topic-dependent convolutional layers performing, on an input of a word-string vector sequence corresponding to dialog text transcribed from a dialog, a convolution operation dependent on a topic, and the topic-independent convolutional layer performing, on the input of the word-string vector sequence, a convolution operation not dependent on the topic; a pooling layer performing pooling process on outputs of the convolutional layer; and a fully connected layer performing full connection process on outputs of the pooling layer.
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公开(公告)号：US20190129932A1
公开(公告)日：2019-05-02
申请号：US16133803
申请日：2018-09-18
Inventor： ASUKA SAKAI , MITSURU ENDO , TAKASHI USHIO , HONGJIE SHI
Abstract: An information processing method includes acquiring first text information from a storage apparatus in which the first text information representing one or more utterance sentences is stored as a learning data set, identifying one or more named entities included in the acquired first text information, replacing each of the one or more identified named entities with an abstract expression abstracted based on a predetermined rule thereby generating second text information from the first text information, and learning a model of a dialogue system using, as training data, the second text information generated in the replacing.
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Patent Agency Ranking
公开(公告)号：US20180046619A1
公开(公告)日：2018-02-15
申请号：US15662628
申请日：2017-07-28
Inventor： HONGJIE SHI , TAKASHI USHIO , MITSURU ENDO , KATSUYOSHI YAMAGAMI
Abstract: A method for controlling identification includes obtaining first text, which is text in a first language, obtaining second text, which is text in a second language obtained by translating the first text into the second language, obtaining correct labels, which indicate content of the first text, inputting the first text and the second text to an identification model common to the first and second languages, and updating the common identification model such that labels identified by the common identification model from the first text and the second text match the correct labels.
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7.发明申请METHOD FOR ASSIGNING SEMANTIC INFORMATION TO WORD THROUGH LEARNING USING TEXT CORPUS 有权通过使用文字科学来学习语言信息的方法公开(公告)号：US20160371254A1
公开(公告)日：2016-12-22
申请号：US15176114
申请日：2016-06-07
Inventor： KATSUYOSHI YAMAGAMI , TAKASHI USHIO , YASUNORI ISHII
CPC classification number: G06F17/2785 , G06F17/2795 , G06F19/00 , G06F19/36 , G06N3/0472 , G06N3/08 , G16H10/20
Abstract: A method includes acquiring a first corpus, including first text of a first sentence including a first word and described in a natural language, and second text of a second sentence including a second word different in meaning from the first word, a second word distribution of the second word being similar to a first word distribution of the first word, acquiring a second corpus including third text of a third sentence, including a third word identical to the first word and/or the second word, a third word distribution of the third word being not similar to the first word distribution, based on an arrangement of a word string in the first corpus and the second corpus, assigning to the first word a first vector representing a meaning of the first word and assigning to the second word a second vector representing a meaning of the second word.
Abstract translation: 一种方法，包括：获取第一语料库，包括包括第一单词并以自然语言描述的第一句子的第一文本，以及第二句子的第二文本，其包括与第一单词不同意义的第二单词，第二单词分布 所述第二词类似于所述第一单词的第一单词分布，获取包括第三句子的第三文本的第二语料库，包括与所述第一单词和/或所述第二单词相同的第三单词，所述第三单词分布 基于第一语料库和第二语料库中的单词串的排列，将第一单词与第一单词分布不相似，向第一单词分配表示第一单词的含义的第一向量，并将第二单词分配给第二单词 代表第二个词的含义的向量。
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公开(公告)号：US20180046614A1
公开(公告)日：2018-02-15
申请号：US15665951
申请日：2017-08-01
Inventor： TAKASHI USHIO , HONGJIE SHI , MITSURU ENDO , KATSUYOSHI YAMAGAMI
IPC: G06F17/27 , G06N99/00 , G06N3/04 , G10L21/0272
CPC classification number: G06F17/2755 , G06F17/2785 , G06F17/279 , G06N3/0445 , G06N3/0454 , G06N20/00 , G10L15/1822 , G10L17/04 , G10L21/0272
Abstract: A dialogue act estimation method includes acquiring learning data including a first sentence to be estimated in the form of text data of a first uttered sentence uttered at a first time point, a second sentence which is text data of a second uttered sentence uttered, at a time point before the first time point, successively after the first uttered sentence, act information indicating an act associated to the first sentence, property information indicating a property information associated to the first sentence, and dialogue act information indicating a dialogue act in the form of a combination of an act and a property associated to the first sentence, making a particular model learn three or more tasks at the same time using the learning data, and storing a result of the learning as learning result information in a memory.
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公开(公告)号：US20170372694A1
公开(公告)日：2017-12-28
申请号：US15615856
申请日：2017-06-07
Inventor： TAKASHI USHIO
CPC classification number: G10L15/063 , G06F16/353 , G06F17/279 , G06N3/0445 , G06N3/084 , G10L15/16 , G10L15/1815 , G10L15/22 , G10L17/22 , G10L21/0272
Abstract: A dialogue act estimation method, in a dialogue act estimation apparatus, includes acquiring first training data indicating, in a mutually associated manner, text data of a first sentence that can be a current uttered sentence, text data of a second sentence that can be an uttered sentence immediately previous to the first sentence, speaker change information indicating whether a speaker of the first sentence is the same as a speaker of the second sentence, and dialogue act information indicating a class of the first sentence, learning an association between the current uttered sentence and the dialogue act information by applying the first training data to a model, and storing a result of the learning as learning result information in a memory.
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公开(公告)号：US20170365252A1
公开(公告)日：2017-12-21
申请号：US15618383
申请日：2017-06-09
Inventor： TAKASHI USHIO , KATSUYOSHI YAMAGAMI
CPC classification number: G10L15/063 , G06F17/2785 , G06N3/0445 , G10L15/16 , G10L15/1815
Abstract: A meaning generation method, in a meaning generation apparatus, includes acquiring meaning training data including text data of a sentence that can be an utterance sentence and meaning information indicating a meaning of the sentence and associated with the text data of the sentence, acquiring restatement training data including the text data of the sentence and text data of a restatement sentence of the sentence, and learning association between the utterance sentence and the meaning information and the restatement sentence. The learning includes learning of a degree of importance of a word included in the utterance sentence, and the learning is performed by applying the meaning training data and the restatement training data to a common model, and storing a result of the learning as learning result information.
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