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.

Abstract: In order to solve a problem that the level of precision in inferring a crosslingual topic of documents or words in a non-parallel corpus associated in the document level is not high, a topic inferring apparatus includes: a word distribution information storage unit in which word distribution information is stored in association with each of two or more languages; a document topic distribution generating unit that acquires document topic distribution information of a multilingual document set; a segment topic distribution generating unit that acquires segment topic distribution information of each segment, using the document topic distribution information; and a word topic determining unit that determines, for each word contained in two or more documents contained in the multilingual document set, a topic of each word using the segment topic distribution information. Accordingly, it is possible to improve the level of precision in inferring a topic.

Abstract: 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.

Abstract: In order to solve a problem that the level of precision in inferring a crosslingual topic of documents or words in a non-parallel corpus associated in the document level is not high, a topic inferring apparatus includes: a word distribution information storage unit in which word distribution information is stored in association with each of two or more languages; a document topic distribution generating unit that acquires document topic distribution information of a multilingual document set; a segment topic distribution generating unit that acquires segment topic distribution information of each segment, using the document topic distribution information; and a word topic determining unit that determines, for each word contained in two or more documents contained in the multilingual document set, a topic of each word using the segment topic distribution information. Accordingly, it is possible to improve the level of precision in inferring a topic.

Abstract: 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.

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.

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.

Abstract: 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.

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.

Abstract: 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.

Abstract: [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.

Abstract: A system for collecting elements as a basis for generating a social scenario useful to make a well-balanced good decision. A complex predicate template collecting apparatus includes: a simple predicate template DB storing simple predicate templates having positive or negative polarity values added; an object noun dictionary; a complex predicate template candidate extractor extracting complex predicate template candidates each formed of a combination of a word specified by the object noun dictionary and a simple predicate template, from a WEB archive; a sahen-noun polarity adder, a quantifier noun polarity adder and a trouble-noun polarity adder, determining polarity of a noun in each of the complex predicate template candidate; and a complex predicate template polarity calculator 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.

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.

Abstract: [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.

Abstract: 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.

Abstract: 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.

Abstract: [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.

Abstract: [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.

Abstract: [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.

Abstract: Slaves are respectively provided corresponding to electric devices, measure, in real time, power usage states and disposed positions of the electric devices to transmit to a master. The master detects operational states of electric devices on operation based on power usage states received from the slaves, and detects a positional relation between electric devices on operation based on disposed positions of the electric devices. Then, the master estimates the number of residents in the house by determining achievability of operational states of electric devices based on the detected operational states and positional relation of electric devices.