公开(公告)号：US20160357854A1

公开(公告)日：2016-12-08

申请号：US15104882

申请日：2014-12-17

申请人： NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY

发明人： Chikara HASHIMOTO ,  Kentaro TORISAWA ,  Motoki SANO ,  Yulan YAN ,  Yutaka KIDAWARA

IPC分类号： G06F17/30 ,  G06N5/02 ,  G06F17/27

CPC分类号： G06F16/3329 ,  G06F16/2365 ,  G06F16/3344 ,  G06F17/2785 ,  G06N5/02 ,  G06Q50/01

摘要： [Object] An object of the present invention is to provide a system for collecting elements as a basis for generating a social scenario useful for people to make well-balanced good decision.[Solution] A scenario generating apparatus includes: a causality phrase pair DB 70 storing causality phrase pairs; synonimity generators 600, 602 and 604, searching, for each of the causality phrase pairs, causality phrase pairs having a cause phrase with causal consistency with the result phrase of the causality phrase pair, and generating join information for joining causality phrase pairs; join relation DB 610 storing the join information; and a causality joining unit 612 joining, to a result phrase of a causality phrase pair, a causality phrase pair having a cause phrase with causal consistency with the phrase by using the join information, and thereby linking causality. A join relation generator 606 that finds a hidden relation between phrases and linking causality phrase pairs may be provided.

摘要翻译： 方案生成装置包括：存储因果性短语对的因果性短语对DB 70; 合成生成器600,602和604，针对每个因果短语对，搜索具有与因果关系对的结果短语的因果一致性的原因短语的因果短语对，以及生成用于加入因果关系词组的加入信息; 存储连接信息的连接关系DB610; 因果关系加入单元612通过使用加入信息将与因果关系对的结果短语相关联的因果关系对具有与短语具有因果一致性的原因短语，从而链接因果关系。 可以提供查找短语和链接因果关系对之间的隐藏关系的联接关系生成器606。

公开(公告)号：US20210034817A1

公开(公告)日：2021-02-04

申请号：US17043069

申请日：2019-03-05

申请人： National Institute of Information and Communications Technology

发明人： Yoshihiko ASAO ,  Ryu IIDA ,  Canasai KRUENGKRAI ,  Noriyuki ABE ,  Kanako ONISHI ,  Kentaro TORISAWA ,  Yutaka KIDAWARA

IPC分类号： G06F40/268 ,  G06N3/08 ,  G06N3/04 ,  G06F40/58

摘要： 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：US20200233908A1

公开(公告)日：2020-07-23

申请号：US16487041

申请日：2018-03-15

申请人： National Institute of Information and Communications Technology

发明人： Noriyuki ABE ,  Kanako ONISHI ,  Kentaro TORISAWA ,  Canasai KRUENGKRAI ,  Yutaka KIDAWARA

IPC分类号： G06F16/9032 ,  G06F40/35 ,  G10L25/63

摘要： A dialogue system includes a response utterance selecting unit generating a response utterance original sentence to an input utterance; an input utterance emotion estimating unit estimating emotion of the input utterance by calculating input utterance emotion scores indicating degree of matching between the emotion represented by the input utterance and a plurality of emotions; and a response utterance modifying unit for calculating response utterance emotion scores of a response utterance original sentence as emotion scores for each of the plurality of emotions, modifying the response utterance original sentence by a method of modification determined by the values of input utterance emotion score and the response utterance emotion score, and thereby generating and outputting a response utterance.

公开(公告)号：US20200183983A1

公开(公告)日：2020-06-11

申请号：US16321988

申请日：2017-07-26

申请人： National Institute of Information and Communications Technology

发明人： Noriyuki ABE ,  Kanako ONISHI ,  Kentaro TORISAWA ,  Canasai KRUENGKRAI ,  Jonghoon OH ,  Ryu IIDA ,  Yutaka KIDAWARA

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

摘要： 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：US20160321244A1

公开(公告)日：2016-11-03

申请号：US15104856

申请日：2014-12-17

申请人： NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY

发明人： Chikara HASHIMOTO ,  Kentaro TORISAWA ,  Motoki SANO ,  Yulan YAN ,  Yutaka KIDAWARA

IPC分类号： G06F17/27 ,  G06F17/30

CPC分类号： G06F17/2775 ,  G06F17/27 ,  G06F17/271 ,  G06F17/2755 ,  G06F17/277 ,  G06F17/2785 ,  G06F17/30604 ,  G06F17/30699

摘要： [Object] An object of the present invention is to provide a system for collecting elements as a basis for generating a social scenario useful to make well-balanced good decision.[Solution] A phrase pair collecting apparatus includes: a causality seed pair DB 410 storing seed pairs each consisting of a pair of phrases including a combination of a noun and a predicate template; a semantic relation pattern DB 400 storing semantic relation patterns between words; a word pair DB 402 storing word pairs related to any of the semantic relation patterns; a semantic relation pattern matching unit 470 for determining which of the semantic relation pattern matches a noun pair in each seed pair stored in causality seed pair DB 410; and a word pair replacing unit 472 for replacing the noun pair of a seed pair using, of the word pairs stored in the word pair DB 402, each of those word pairs which are related to the semantic relation pattern determined to be matching the noun pair, and thereby generating new hypotheses.

摘要翻译： 短语对收集装置包括：因果关系种子对DB 410，存储种子对，每个种子对由包括名词和谓词模板的组合的一对短语组成; 语义关系模式DB 400，其存储词之间的语义关系模式; 字对DB 402，其存储与任意语义关系模式相关的字对; 语义关系模式匹配单元470，用于确定语义关系模式中的哪一个与存在于因果种子对DB 410中的每个种子对中的名词对匹配; 以及字对替换单元472，用于使用存储在单词对DB 402中的单词对替换种子对的名词对，与确定为匹配名词对的语义关系模式相关的每个单词对 ，从而产生新的假设。

公开(公告)号：US20200066254A1

公开(公告)日：2020-02-27

申请号：US16348471

申请日：2017-11-06

申请人： NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY

发明人： Atsuo HIROE ,  Takuma OKAMOTO ,  Yutaka KIDAWARA

IPC分类号： G10L13/08 ,  G10L15/00 ,  G10L13/04 ,  G06F17/28

摘要： In order to solve a conventional problem that, after a series of dialog between a user and a spoken dialog device has progressed to some extent, that user or another user cannot see or recognize a previous dialog status, a cross-lingual spoken dialog system is provided wherein, in a case in which an instruction from a user terminal is received by a pairing server, dialog information stored in a storage medium is transmitted to the user terminal. Accordingly, even after a series of dialog between a user and the spoken dialog device has progressed to some extent, that user or another user can see or recognize a previous dialog status.

公开(公告)号：US20180011830A1

公开(公告)日：2018-01-11

申请号：US15544227

申请日：2016-01-20

申请人： National Institute of Information and Communications Technology

发明人： Ryu IIDA ,  Kentaro TORISAWA ,  Chikara HASHIMOTO ,  Jonghoon OH ,  Kiyonori OOTAKE ,  Yutaka KIDAWARA

IPC分类号： G06F17/24 ,  G06F17/27 ,  G06F17/28 ,  G06F3/0482

CPC分类号： G06F17/241 ,  G06F3/0482 ,  G06F17/2705 ,  G06F17/2755 ,  G06F17/2863

摘要： annotation data generation assisting system includes: an input/output device receiving an input through an interactive process; morphological analysis system 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.

公开(公告)号：US20170249340A1

公开(公告)日：2017-08-31

申请号：US15441453

申请日：2017-02-24

申请人： NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY

发明人： Makoto OKUDA ,  Shinichi SATOH ,  Shoichiro IWASAWA ,  Shunsuke YOSHIDA ,  Yutaka KIDAWARA

IPC分类号： G06F17/30 ,  G06K9/62

CPC分类号： G06F16/5866 ,  G06F16/5838 ,  G06F16/9024 ,  G06K9/00677 ,  G06K9/6212 ,  G06K9/6218

摘要： Provided is a significantly versatile, novel community structure detection method. An image clustering system includes an obtaining module configured to obtain a match graph reflecting a result of an image matching process of matching input images included in an input image group. The match graph includes a vertex corresponding to each of input images, and an edge which connects vertices corresponding to input images determined to match each other. The image clustering system further includes: a community structure detection module configured to associate input images with each other, based on the match graph's structure; and an output module configured to output as a cluster a set of mutually associated input images.

公开(公告)号：US20160328657A1

公开(公告)日：2016-11-10

申请号：US15104770

申请日：2014-12-17

申请人： NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY

发明人： Chikara HASHIMOTO ,  Kentaro TORISAWA ,  Motoki SANO ,  Yulan YAN ,  Yutaka KIDAWARA

IPC分类号： G06N7/00 ,  G06F17/27

CPC分类号： G06N7/005 ,  G06F16/9535 ,  G06F17/2705 ,  G06F17/271 ,  G06F17/277 ,  G06F17/2775 ,  G06F17/2785 ,  G06N5/022 ,  G06N5/025

摘要： [Object] An object of the present invention is to provide a system for collecting elements as a basis for generating a social scenario useful to make a well-balanced good decision.[Solution] A complex predicate template collecting apparatus 64 includes: a simple predicate template DB 62 storing simple predicate templates having positive or negative polarity values added; an object noun dictionary 260; a complex predicate template candidate extractor 268 extracting complex predicate template candidates each formed of a combination of a word specified by the object noun dictionary 260 and a simple predicate template, from a WEB archive 44; a sahen-noun polarity adder 276, a quantifier noun polarity adder 278 and a trouble-noun polarity adder 280, determining polarity of a noun in each of the complex predicate template candidate; and a complex predicate template polarity calculator 282 calculating polarity of a complex predicate template candidate by a combination of the polarity of the noun and the polarity of the simple predicate template included in the complex predicate template.

摘要翻译： 复杂谓词模板收集装置64包括：简单谓词模板DB 62，其存储添加了正或负极性值的简单谓词模板; 一个对象名词字典260; 从WEB归档44提取由对象名词字典260指定的单词和简单谓词模板组合的复合谓词模板候补提取复杂谓词模板候选提取器268; 一个名词极性加法器276，一个量词名词极性加法器278和一个麻烦名词极性加法器280，确定每个复数谓词模板候选者中的名词的极性; 以及复数谓词模板极性计算器282，通过复数谓词模板中包含的名词的极性和简单谓词模板的极性的组合来计算复数谓词模板候选者的极性。