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1. 发明公开

EP3057003A1 DEVICE FOR COLLECTING CONTRADICTORY EXPRESSION AND COMPUTER PROGRAM FOR SAME 审中-公开
标题翻译：用于收集矛盾的条款和计算机程序THEREFOR
公开(公告)号：EP3057003A1
公开(公告)日：2016-08-17
申请号：EP14852479.6
申请日：2014-10-06
申请人： National Institute of Information and Communication Technology
发明人： KLOETZER, Julien , TORISAWA, Kentaro , HASHIMOTO, Chikara , SANO, Motoki , OH, Jonghoon , OOTAKE, Kiyonori
IPC分类号： G06F17/30
CPC分类号： G06N99/005 , G06F17/2785 , G06K9/6263 , G06K9/6269 , G06K9/72 , G06K2209/01 , G06N5/047
摘要： [Object] An object is to provide a device capable of efficiently collecting contradictory expressions in units smaller than a sentence.
[Solution] A contradictory expression collecting device includes: a first-stage contradiction pattern classifying unit extracting a pattern pair consisting of mutually contradictory patterns by machine learning using as training data pattern pairs consisting of patterns in the form of "subject X predicate object Y"; an additional contradiction pattern pair deriving unit 130 deriving a new pattern pair by rewriting one pattern of each extracted pattern pair by using entailment relation; a training data expanding unit for expanding training data by adding to the training data those of the newly derived pattern pairs which are highly likely consisting of mutually contradicting patterns; and an SVM 142 performing a second-stage classification classifying given pattern pairs to pattern pairs consisting of mutually contradictory patterns and to other pairs, based on machine learning using the expanded training data.
摘要翻译：本发明的课题的目的在于提供一种能够在比单位的句子较小收集高效矛盾表达式的装置。 [解决方法]一种矛盾的表达收集装置，包括：第一阶段的矛盾模式分类单元，提取的图案对使用如锻炼数据模式对在“受试者X谓词对象Y”的形式的图案包含由机器学习由...组成相互矛盾的图案 ; 到附加的矛盾图案对导出部130通过使用蕴涵关系重写每个提取的图案对一个图案导出新图案对; 锻炼数据扩展单元，用于通过向锻炼数据的那些新导出的图案对哪些是极有可能由......组成相互矛盾的图案的扩大锻炼数据; 和SVM 142执行第二阶段分类分级规定的图案对图案对由...组成相互矛盾的模式和与其他对，基于机器学习使用扩展的锻炼数据。

2. 发明公开

EP3346394A1 QUESTION ANSWERING SYSTEM TRAINING DEVICE AND COMPUTER PROGRAM THEREFOR 审中-公开
公开(公告)号：EP3346394A1
公开(公告)日：2018-07-11
申请号：EP16841689.9
申请日：2016-08-26
申请人： National Institute of Information and Communication Technology
发明人： OH, Jonghoon , TORISAWA, Kentaro , HASHIMOTO, Chikara , IIDA, Ryu , TANAKA, Masahiro , KLOETZER, Julien
IPC分类号： G06F17/30 , G06N5/02 , G06N99/00
CPC分类号： G06F17/30654 , G06F17/30 , G06N5/02 , G06N5/025 , G06N99/00 , G06N99/005
摘要： [Object] An object is to provide a why-question answering system training device generating training data for a classifier with high efficiency with minimum human labor.
[Solution] A training device 62 includes: a question issuing unit 100 issuing a question stored in a question and expected answer storage unit 76 to a question answering system 60; an answer candidate filtering unit 102, an answer candidate determining unit 104, training data generating/labeling unit 106, and a training data selecting unit 108, generating and adding to a training data storage unit 64 training data for a ranking unit 122 of question answering system 60, from pairs of a question and each of a plurality of answer candidates output with scores from why-question answering system 60; and an iteration control unit 110 controlling question issuing unit 100, answer candidate filtering unit 102, answer candidate determining unit 104, training data generating/labeling unit 106 and training data selecting unit 108 such that training of the training device, issuance of question and addition of training data are repeated until an end condition is satisfied.

3. 发明公开

EP3336719A1 FUTURE SCENARIO GENERATION DEVICE AND METHOD, AND COMPUTER PROGRAM 审中-公开
公开(公告)号：EP3336719A1
公开(公告)日：2018-06-20
申请号：EP16835000.7
申请日：2016-07-29
申请人： National Institute of Information and Communication Technology
发明人： HASHIMOTO, Chikara , TORISAWA, Kentaro , KLOETZER, Julien , OH, Jonghoon , TANAKA, Masahiro , MAIRIDAN, Wushouer
IPC分类号： G06F17/30 , G06F19/00 , G06N5/04
CPC分类号： G06F17/30 , G06F17/30654 , G06F19/00 , G06N5/04
摘要： [Object] An object is to provide a future scenario generating device capable of generating a huge number of appropriate future scenarios. [Solution] A future scenario generating device 272 includes: phrase pair DB 92 storing a large number of causality phrase pairs; a causality network building device 290 building a causality network by linking, of the phrases stored in causality phrase pair DB 92, phrases connectable as causality, using as a start point a phrase forming a main part of a question received by a question input unit 280; a community detecting device 294 detecting a community in the causality network; and a future scenario generating unit 298 generating a future scenario by linking phrases connectable as causality and belonging to the same community as the phrase as the start point until a predetermined end condition is satisfied.

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