Mitsubishi Electric Corporation

Yusuke Koji

Jun Ishii

Keisuke Watanabe

Hayato Uchide

Takeyuki Aikawa

Yoichi Fujii

Tatsuhiko Saito

Yi Jing

Daishin Ito

An information processing device includes an acquisition unit that acquires a plurality of documents and clue information including a plurality of words and a generation processing unit that generates inter-document relationship source information based on the plurality of documents and the clue information, generates high frequency appearance information based on the inter-document relationship source information, generates vicinity appearance information based on the high frequency appearance information, and generates an inter-document relationship table based on the vicinity appearance information.

Information processing device, and generation method

An information processing device () includes: a morphological analysis unit () performing morphological analysis to divide each of an article body text included in an article and a caption of each of images into morphemes; a phrase acquiring unit () dividing the article body text into phrases on a basis of a result of the morphological analysis performed by the morphological analysis unit (); and a correspondence determining unit (). The correspondence determining unit () determines correspondence between each of the phrases of the article body text and the images by calculating a correlation between the caption and each of the phrases of the article body text on a basis of the result of the morphological analysis performed by the morphological analysis unit ().

Information processing device

A dialog management unit () selects a response template corresponding to a dialog state with a user and outputs a term symbol included in the response template to a comprehension level estimating unit (). The comprehension level estimating unit () outputs the user's comprehension level of the input term symbol to the dialog management unit (). A response generating unit () generates a response sentence on the basis of the response template selected by the dialog management unit (), adds an explanatory sentence to the response sentence depending on the user's comprehension level of the term input from the dialog management unit (), and outputs the response sentence.

Response generation device, dialog control system, and response generation method

An intention inference system includes, a morphological analyzer to perform morphological analysis for a complex sentence with multiple intentions involved, a syntactic analyzer to perform syntactic analysis for the complex sentence morphologically analyzed by the morphological analyzer and to divide it into the first simple sentence and the second simple sentence, an intention inference unit to infer the first intention involved in the first simple sentence and the second intention involved in the second simple sentence, a feature extractor to extract as the first feature a morpheme showing execution order of operations involved in the first simple sentence and to extract as the second feature a morpheme showing execution order of operations involved in the second simple sentence, and an execution order inference unit to infer the execution order of the first operation corresponding to the first intention and the second operation corresponding to the second intention on the basis of the first feature and the second feature extracted by the feature extractor. This enables the system to infer user's intentions accurately.

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Tokyo, Japan

Yusuke Koji