Kabushiki Kaisha Toshiba

Kosei Fume

Masahiro Morita

Taira Ashikawa

Masayuki Ashikawa

Masaru Suzuki

Yuka Kuroda

Yoshiaki Mizuoka

Hiroshi Fujimura

Yuji Shimizu

Masahiro Yamamoto

Tomohiro Yamasaki

Takehiko Kagoshima

Takashi Masuko

Masayuki Okamoto

Masatsune Tamura

Kouichirou Mori

Nayuko Watanabe

Kentaro Tachibana

Toshihiko Manabe

Yasuto Ishitani

Wataru Nakano

Tatsuya Izuha

Hiromi Wakaki

Tomoharu Kokubu

A document classification apparatus includes a processing circuit. The processing circuit configured to: divide a sentence included in a target document into word units; divide a sentence included in a supplementary text into word units; calculate an appearance statistic of a word obtained from the target document and the supplementary-text; provide, to the word, an attribute representing specialty, specificity, or category independence based on the appearance statistic; extract an anchor word from words included in the supplementary text based on the attribute; perform target learning in accordance with an attribute of the anchor word and generate a word embedding vector; and estimate a classification category of a document based on the word embedding vector.

Document classification apparatus, method, and storage medium

A data generation device according to an embodiment includes one or more processors. The one or more processors classify each of a plurality of users having attributes similar to one another into any one of a plurality of clusters based on user information representing the respective attributes of the users. The one or more processors estimate whether a search result is useful to each of the users based on a similarity between information included in the search result and information representing attributes of the clusters, and output learning data of a ranking model for determining an order of a plurality of the search results, the learning data being data including the search results and estimation information representing whether the search results are useful.

Data generation device and data generation method

According an embodiment, an information processing device includes a memory and one or more processors coupled to the memory. The one or more processors are configured to: cluster key phrases extracted from a document group to generate clusters each including items; extract a sub-document group corresponding to a specified key phrase from the document group; calculate a score for each of the clusters, the score indicating usefulness of information displayed in a graph image that indicates an amount of information for each of the items in the sub-document group; select clusters to be displayed whose scores are from a highest ranking to a predetermined ranking, among the clusters; and generate the graph image of each of the clusters to be displayed.

Information processing device, information processing method, and computer program product

According to an embodiment, a document analysis device includes one or more hardware processors configured to function as a sentence extraction unit, an analysis unit, a neural network unit. The analysis unit generates, for each of sentences, initial element information representing an initial value of relevance to each of predetermined attribute items. The neural network unit receives sentence information and outputs execution result of a main task on the target document, for each of the sentences. The neural network unit includes an attention unit and a main task execution. The attention receives the sentence information and the initial element information, calculates an attention weight and outputs attention information according to the attention weight, for each of the sentences. The main task execution unit executes the main task based on the attention information for each of the sentences.

Document analysis device, learning device, document analysis method, and learning method

According to an embodiment, a voice recognition device includes one or more processors. The one or more processors are configured to: recognize a voice signal representing a voice uttered by an object speaker, to generate text and meta information representing information that is not included in the text and included in the voice signal; generate an object presentation vector including a plurality of parameters representing a feature of a presentation uttered by the object speaker; calculate a similarity between the object presentation vector and a reference presentation vector including a plurality of parameters representing a feature of a presentation uttered by a reference speaker; and output the text. The one or more processors are further configured to determine whether to output the meta information based on the similarity, and upon determining to output the meta information, add the meta information to the text and output the meta information.

Voice recognition device, voice recognition method, and computer program product

According to an embodiment, a display control system includes a recognizer, a calculator, and a display controller. The recognizer is configured to recognize sound generated from a sound source. The calculator is configured to calculate a first direction of the sound source from a position of a user based at least in part on the recognized sound. The display controller is configured to cause a display to output display information that visually expresses the sound in a first display format determined based at least in part on an angle between a second direction in which the user faces and the first direction of the sound source.

Display control system, display control method, and computer program product using display sectors in one revolution of clockwise or counterclockwise direction

An information processing device according to an embodiment includes one or more processors. The processors perform hierarchical clustering of a key phrase group. The processors divide the key phrase group into candidate clusters. The processors receive a selectin operation of one item from predetermined items for classifying the document group. The processors calculate, for each candidate cluster, a score indicating utility with respect to the selected item. The processors decide, as a reference cluster, a candidate cluster for which the score has a predetermined ranking. The processors divide the reference cluster into sub-clusters. The processors extract predetermined sub-items in the lower levels of the selected item. And the processors control presentation of an expansion image for expressing the information volume of the documents for each sub-item and each sub-cluster.

Method for presenting information volume for each item in document group

An apparatus for correcting a character string in a text of an embodiment includes a first converter, a first output unit, a second converter, an estimation unit, and a second output unit. The first converter recognizes a first speech of a first speaker, and converts the first speech to a first text. The first output unit outputs a first caption image indicating the first text. The second converter recognizes a second speech of a second speaker for correcting a character string to be corrected in the first text, and converts the second speech to a second text. The estimation unit estimates the character string to be corrected, based on text matching between the first text and the second text. The second output unit outputs a second caption image indicating that the character string to be corrected is to be replaced with the second text.

Apparatus, method, and computer program product for correcting speech recognition error

According to an embodiment, an annotation sharing method includes outputting a content; acquiring an annotation positioned in the content; calculating a position of the annotation in the content using information, that is related to the content and is usable for specifying the position of the annotation in the content, without using a body of the content; and storing the calculated position and the annotation in association with each other and in a readable manner.

Annotation sharing method, annotation sharing apparatus, and computer program product

According to an embodiment, an information processing apparatus includes one or more processors. The one or more processors are configured to acquire target sentence data including a plurality of morphemes obtained by speech recognition and speech generation time of each morpheme from the plurality of morphemes; and assign display time according to a difference between a confirmed sentence of which a user's correction for the target sentence data is confirmed and a second confirmed sentence of a previous speech generation time.

Information processing apparatus, information processing method, and computer program product

According to one embodiment, a search support apparatus includes a first analyzer, a first acquirer, a measurement unit, a first extractor, a second extractor and a storage. The first analyzer analyzes a clipped document. The first acquirer acquires an updated document by referring to the location information if an original document has been updated. The measurement unit measures a first update frequency of the original document. The first extractor extracts one or more first keywords from the clipped document. The second extractor extracts one or more second keywords from the updated document using a first keyword extraction scheme set in accordance with the first update frequency. The storage stores the one or more first keywords, the one or more second keywords and the update document each associated with the clipped document.

Search support apparatus and method

A summary generating device includes a featural script extracting unit, a segment candidate generating unit, and a structuring estimating unit. The featural script extracting unit extracts featural script information of the words included in text information. Based on the extracted feature script information, the segment candidate generating unit generates candidates of segments that represent the constitutional units for the display purpose. Based on the generated candidates of segments and based on an estimation model for structuring, the structuring estimating unit estimates structure information containing information ranging from information of a comprehensive structure level to information of a local structure level.

Summary generating device, summary generating method, and computer program product

According to one embodiment, an information processing terminal includes a generator, an acquisition unit, and an output unit. The generator analyzes an electronic document to generate a metadata item including text information in an electronic document and structure information on the electronic document. The acquisition unit transmits the metadata item to an information management apparatus, causes the information management apparatus to estimate a similar metadata item similar to the metadata item and acquires an annotation information item corresponding to the similar metadata item. The output unit outputs the annotation information item in association with the electronic document.

Information processing terminal and method, and information management apparatus and method

A transliteration support device according to an embodiment includes an acquisition unit, an extraction unit, a generation unit, and a reproduction unit. The acquisition unit acquires a text to be transliterated. The addition unit adds a transliteration tag indicating a transliteration setting of the text to the text. The extraction unit extracts a transliteration pattern in which a frequent appearance transliteration setting frequently appearing in the transliteration settings indicated by the transliteration tags and an applicable condition when the frequent appearance transliteration setting is applied to the text are in association with each other. The generation unit produces a synthesized voice using the transliteration pattern. The reproduction unit reproduces the produced synthesized voice.

Transliteration support device, transliteration support method, and computer program product

According to an embodiment, a conference support system includes a recognizer, a classifier, a first caption controller, a second caption controller, and a display controller. The recognizer is configured to recognize text data corresponding speech from a speech section and configured to distinguish between the speech section and a non-speech section in speech data. The classifier is configured to classify the text data into first utterance data representing a principal utterance and second utterance data representing another utterance. The first caption controller is configured to generate first caption data for displaying the first utterance data without waiting for identification of the first utterance data to finish. The second caption controller is configured to generate second caption data for displaying the second utterance data after identification of the second utterance data finishes. The display controller is configured to control a display of the first caption data and the second caption data.

Growing community of inventors

Kawasaki Kanagawa, Japan

Kosei Fume