Abstract: 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.

Abstract: An inference device includes a first acquisition unit that acquires first input information, a storage unit that stores a knowledge graph, an inference execution unit that executes the inference based on the knowledge graph, an output unit that outputs information, a second acquisition unit that acquires second input information indicating a user's intention in regard to the result of the inference and including a first word, and a control unit that judges whether the result of the inference is appropriate or not based on the information based on the result of the inference and the second input information, and when the result of the inference is inappropriate, determines a node of the first word among the plurality of nodes, adds an AND node to the knowledge graph, and associates an inference start node and the node of the first word with each other via the AND node.

Abstract: An inference device includes a knowledge base unit that stores a knowledge base for inferring answers to requests; an information acquisition unit that acquires situation information that is information including a user request or a request from a user and response information including a user's response to an inference result or a result of inference; an inference unit that uses the knowledge base to make inferences for a user request included in the situation information; an information output unit that outputs an inference result; a feedback information extraction unit that specifies a desired result or a result desired by the user for the user request from the response information; and an update unit that updates the knowledge base such that the desired result more likely matches the inference result.

Abstract: A speech signal processing unit individually separates uttered speech of a plurality of passengers each seated in one of a plurality of speech recognition target seats in a vehicle. A speech recognition unit performs speech recognition on uttered speech of each of the passengers separated by the speech signal processing unit and calculates a speech recognition score. A score-using determining unit determines a speech recognition result of which of the passengers is to be used from among speech recognition results for the passengers, using the speech recognition score of each of the passengers.

Abstract: An information processing device (10) includes: a morphological analysis unit (11a, 11b) 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 (12) dividing the article body text into phrases on a basis of a result of the morphological analysis performed by the morphological analysis unit (11b); and a correspondence determining unit (13). The correspondence determining unit (13) 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 (11a).

Abstract: An information processing device includes processing circuitry to acquire a signal representing voices corresponding to utterances made by one or more users; recognize the voices from the signal, convert the recognized voices into character strings to identify the utterances, and identify times corresponding to the utterances; identify users who have made the utterances, as speakers from among the users; store information including records indicating the utterances, the times corresponding to the utterances, and the speakers corresponding to the utterances; estimate meanings of the utterances; refer to the information and when a last utterance of the utterances and one or more of the utterances immediately preceding the last utterance are not a conversation, determine that the last utterance is a voice command for controlling a target; and when it is determined that the last utterance is the voice command, control the target in accordance with the meaning of the last utterance.

Abstract: An information processing device (10) includes: a morphological analysis unit (11a, 11b) 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 (12) dividing the article body text into phrases on a basis of a result of the morphological analysis performed by the morphological analysis unit (11b); and a correspondence determining unit (13). The correspondence determining unit (13) 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 (11a).

Abstract: A dialog management unit (31) 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 (30). The comprehension level estimating unit (30) outputs the user's comprehension level of the input term symbol to the dialog management unit (31). A response generating unit (32) generates a response sentence on the basis of the response template selected by the dialog management unit (31), adds an explanatory sentence to the response sentence depending on the user's comprehension level of the term input from the dialog management unit (31), and outputs the response sentence.

Abstract: 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

Abstract: A dialog management unit (31) 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 (30). The comprehension level estimating unit (30) outputs the user's comprehension level of the input term symbol to the dialog management unit (31). A response generating unit (32) generates a response sentence on the basis of the response template selected by the dialog management unit (31), adds an explanatory sentence to the response sentence depending on the user's comprehension level of the term input from the dialog management unit (31), and outputs the response sentence.

Abstract: 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

Abstract: A configuration includes: a morphological analyzer configured to analyze a text provided as an input in a form of natural language by a user; an intention-estimation processor configured to refer to an intention estimation model in which words and corresponding user's intentions to be estimated from the words are stored, to thereby estimate an intention of the user based on the text analysis results obtained by the morphological analyzer; an unknown-word extractor configured to extract, as an unknown word, a word that is not stored in the intention estimation model from among the text analysis results when the intention of the user fails to be uniquely determined by the intention estimation processor; and a response text message generator configured to generate a response text message that includes the unknown word extracted by the unknown-word extractor.

Abstract: A search device includes: a similar word candidate acquirer including a word dictionary searcher to perform a comparison between an input character string and word character string data, and search for word character string data similar to the input character string to acquire, as similar word candidates, the word character string data, and a number-of-similar-word-candidates controller to select similar word candidates from the similar word candidates according to a preset threshold; a similar word selector to calculate an edit distance between each of the similar word candidates selected and the input character string, and select, as a similar word, a similar word candidate whose edit distance is equal to or less than a predetermined distance; and a name searcher to refer to a name search index data storage to search for a search text including the similar word selected by the similar word selector.