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公开(公告)号:US11036935B2
公开(公告)日:2021-06-15
申请号:US16970334
申请日:2019-02-15
发明人: Ko Mitsuda , Ryuichiro Higashinaka , Junji Tomita
IPC分类号: G06F17/00 , G06F40/186 , G06F16/903
摘要: An argumentation structure can be automatically extended.
A template creation unit 22 creates a template using a predetermined rewriting pattern by receiving, as an input, a proposition represented by each of nodes in an argumentation structure including the nodes respectively representing a main proposition of argumentation and a proposition that functions as an argument for another proposition. An additional proposition output unit 28 creates a proposition functioning as an argument for the input proposition using the created template and outputs the created proposition as a proposition represented by a node to be added to the argumentation structure.-
公开(公告)号:US12014148B2
公开(公告)日:2024-06-18
申请号:US17285444
申请日:2019-10-09
IPC分类号: G06F40/40 , G06F40/268 , G06N3/045 , G06N3/08
CPC分类号: G06F40/40 , G06F40/268 , G06N3/08
摘要: It is possible to ask an appropriate question for digging an utterance of the other party in depth. An interrogative search unit estimates an estimated used interrogative with a text, which is an utterance sentence, as an input, by using a predetermined rule or an estimator that has already learned, the estimated used interrogative being an interrogative related to the text. A candidate utterance sentence generation unit generates each of candidate utterance sentences for the utterance sentence with the text as an input through automatic utterance generation. Based on each of the candidate utterance sentences and an estimation result of the estimated used interrogative, a ranking unit ranks the candidate utterance sentenced, based on the scored.
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公开(公告)号:US12026460B2
公开(公告)日:2024-07-02
申请号:US17053744
申请日:2019-05-07
发明人: Taichi Katayama , Atsushi Otsuka , Ko Mitsuda , Kuniko Saito , Junji Tomita
摘要: To make it possible to generate dialogue data for generating a question sentence to deeply delve conversation at a low cost. For each of a plurality of pieces of data each including a set of a first utterance sentence that is a sentence uttered by a first user, a second utterance sentence that is a sentence uttered by a second user and is a response to the first utterance sentence, and a third utterance sentence that is a sentence uttered by the first user and is a response to the second utterance sentence, a dialogue data generation unit 110 generates a set of the first utterance sentence of the data and the second utterance sentence of the data as dialogue data when the second utterance sentence of the data is a question sentence using an interrogative.
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公开(公告)号:US12019986B2
公开(公告)日:2024-06-25
申请号:US17603451
申请日:2020-04-10
IPC分类号: G06F40/279 , G06F16/632 , G06F16/68 , G06F40/35
CPC分类号: G06F40/279 , G06F16/632 , G06F16/686 , G06F40/35
摘要: Acquisition of an utterance pair for expanding a set of utterance pairs for outputting an output utterance in response to receiving a given utterance is described. A keyword extraction unit is configured to compare a degree of characteristic of a word in expansion source utterance pair data and a degree of characteristics of a word in the given utterance data. The expansion source utterance pair data represents a set of expansion source utterance pairs including an input utterance and an output utterance for the input utterance. The present technology includes extracting, based on a comparison result, a keyword list including a keyword that is characteristic of the expansion source utterance pair data. An utterance pair extraction unit is configured to extract, based on the keyword list, an utterance pair from a set of given utterance pairs as an addition for expanding the set of utterance pairs.
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公开(公告)号:US11545150B2
公开(公告)日:2023-01-03
申请号:US16978661
申请日:2019-03-04
发明人: Atsushi Otsuka , Ko Mitsuda , Taichi Katayama , Junji Tomita
摘要: Provided are a dialogue device, a dialogue method, a data structure, and a program capable of realizing various dialogues while reducing the amount of description of a dialogue scenario.
A knowledge transition unit 120 determines a next type of knowledge based on: a knowledge base 130 in which a relation label indicating each of relations between a plurality of types of knowledge is attached to knowledge about each of utterances to express the knowledge about the utterance; a user utterance; current knowledge; and a dialogue scenario including a basic scenario in which a transition method between the plurality of types of knowledge in the knowledge base is determined using the relation label, and an utterance generation unit 150 generates a system utterance based on the next type of knowledge.
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