Abstract: Methods and systems for information retrieval include analyzing audio data to produce word hypotheses. Displaying the word hypotheses in motion at different respective speeds at once across a graphical display. Information is retrieved in accordance with one or more selected terms from the displayed word hypotheses.

Abstract: Methods and systems for information retrieval include analyzing audio data to produce one or more word hypotheses, each word hypothesis having an associated confidence value. The one or more word hypotheses are displayed in motion across a graphical display. Information retrieval is performed in accordance with one or more selected terms from the displayed word hypotheses.

Abstract: A 2D image generation unit 13 that generates 2D image data according to a predetermined 2D conversion algorithm from 3D data, and an evaluation value calculation unit 14 that calculates an evaluation value representing similarity between the generated 2D image data and captured image data used as a correct image are included. By the 2D image generation unit 13 repeatedly executing generation of 2D image data from 3D data and learning the 2D conversion algorithm to optimize the evaluation value calculated each time for 2D image data using highly accurate captured image data as a correct image, it is possible to generate a highly accurate 2D image from a 3D model even when 3D data of a highly accurate 3D model is not used.

Abstract: A system and method for expanding a question and answer (Q&A) database. The method includes obtaining a set of Q&A documents and speech recognition results, each Q&A document in the set having an identifier, and each speech recognition result having an identifier common with the identifier of a relevant Q&A document, and adding one or more repetition parts extracted from the speech recognition results to a corresponding Q&A document in the set to generate an expanded set of Q&A documents for increasing Q&A document extraction accuracy.

Abstract: Aspects of the invention are configured to perform an operation comprising receiving a query specifying an AND condition and an OR condition, determining, based on an AND index structure, a set of documents, of a plurality of documents in a corpus, satisfying the AND condition of the query, computing a query similarity score for a first document in the set of documents, wherein the query similarity score is based on a first hash value computed for the OR condition of the query, a weight value for the OR condition, and a second hash value for the first document specified in an OR index, and returning an indication of the first document and the query similarity score as responsive to the query.

Abstract: An information processing device includes a keyword acquiring unit configured to acquire a plurality of primary keyword and secondary keyword groups; a classifying unit configured to classify each of the plurality of secondary keywords by a plurality of topics; an estimating unit configured to estimate whether or not each primary keyword in the plurality of groups is a related keyword related to any topic having a classified secondary keyword or a mixed keyword unrelated to any of the topics; and an assigning unit configured to preferentially assign a primary keyword estimated to be a related keyword to a topic having a classified secondary keyword in the same group, and assigning a primary keyword estimated to be a mixed keyword to any of all the topics given for classification.

Abstract: A system and method for expanding a question and answer (Q&A) database. The method includes preparing a set of Q&A documents and speech recognition results of an agent's utterances in conversations between an agent and a customer, each Q&A document in the set having an identifier, and each speech recognition result having an identifier common with the identifier of a relevant Q&A document, and adding one or more repetition parts extracted from the speech recognition results of the agent's utterances to a corresponding Q&A document in the set.

Abstract: An information processing device includes a keyword acquiring unit configured to acquire a plurality of primary keyword and secondary keyword groups; a classifying unit configured to classify each of the plurality of secondary keywords by a plurality of topics; an estimating unit configured to estimate whether or not each primary keyword in the plurality of groups is a related keyword related to any topic having a classified secondary keyword or a mixed keyword unrelated to any of the topics; and an assigning unit configured to preferentially assign a primary keyword estimated to be a related keyword to a topic having a classified secondary keyword in the same group, and assigning a primary keyword estimated to be a mixed keyword to any of all the topics given for classification.

Abstract: Systems, methods, and computer program products configured to perform an operation comprising receiving a query specifying an AND condition and an OR condition, determining, based on an AND index structure, a set of documents, of a plurality of documents in a corpus, satisfying the AND condition of the query, computing a query similarity score for a first document in the set of documents, wherein the query similarity score is based on a first hash value computed for the OR condition of the query, a weight value for the OR condition, and a second hash value for the first document specified in an OR index, and returning an indication of the first document and the query similarity score as responsive to the query.

Abstract: A computer system and method to classify a plurality of users in a plurality of clusters in social media associating a text profile and text content with each user. The method comprises: generating a content feature vector for each of a portion of users on the basis of content associated with the portion of users; generating mapping the plurality of clusters, and the plurality of clusters and the portion of users, on the basis of the content feature vectors; generating a first profile feature vector for each of the plurality of clusters on the basis of the profiles associated with the portion of users mapped to each cluster; and classifying each of the other users excluding the portion of users in a plurality of clusters on the basis of the profiles associated with the other users and the first profile feature vectors.

Abstract: A system and method for expanding a question and answer (Q&A) database. The method includes preparing a set of Q&A documents and speech recognition results of an agent's utterances in conversations between an agent and a customer, each Q&A document in the set having an identifier, and each speech recognition result having an identifier common with the identifier of a relevant Q&A document, and adding one or more repetition parts extracted from the speech recognition results of the agent's utterances to a corresponding Q&A document in the set.

Abstract: Methods and systems for information retrieval include analyzing audio data to produce one or more word hypotheses, each word hypothesis having an associated confidence value. The one or more word hypotheses are displayed in motion across a graphical display. Information retrieval is performed in accordance with one or more selected terms from the displayed word hypotheses.

Abstract: Embodiments are directed to, for a database comprising a set of transactions, with each transaction including an itemset comprising one or more individual items, obtaining a set of all closed frequent itemsets by checking frequencies of transaction sets, wherein a given itemset, I, is frequent where at least some threshold number (?) of transactions contain I, and wherein the given itemset I is closed wherein it is impossible to add any item to I without changing the frequency thereof.

Abstract: A system to reduce a required memory area (storage capacity) and save time and effort for updating target attributes in aggregation processing is disclosed. The system for aggregating data includes an index storing unit for storing DtoK indices arranged in predetermined order, each of the indices specifying a list of attributes included in a target data item from identification information of the target data item, and a word list that is a list of attributes included in a plurality of the target data items, and an aggregation processing unit for finding, for each attribute, target data items including the attribute and executing aggregation processing for aggregating attributes whose relation with the target data items meets a predetermined standard. A link is created for each attribute in the word list for sequentially following an element in the index for each target data item, and target data items are found based thereon.

Abstract: A computer system and method to classify a plurality of users in a plurality of clusters in social media associating a text profile and text content with each user. The method comprises: generating a content feature vector for each of a portion of users on the basis of content associated with the portion of users; generating mapping the plurality of clusters, and the plurality of clusters and the portion of users, on the basis of the content feature vectors; generating a first profile feature vector for each of the plurality of clusters on the basis of the profiles associated with the portion of users mapped to each cluster; and classifying each of the other users excluding the portion of users in a plurality of clusters on the basis of the profiles associated with the other users and the first profile feature vectors.

Abstract: An information processing device includes a keyword acquiring unit configured to acquire a plurality of primary keyword and secondary keyword groups; a classifying unit configured to classify each of the plurality of secondary keywords by a plurality of topics; an estimating unit configured to estimate whether or not each primary keyword in the plurality of groups is a related keyword related to any topic having a classified secondary keyword or a mixed keyword unrelated to any of the topics; and an assigning unit configured to preferentially assign a primary keyword estimated to be a related keyword to a topic having a classified secondary keyword in the same group, and assigning a primary keyword estimated to be a mixed keyword to any of all the topics given for classification.

Abstract: An information processing device includes a keyword acquiring unit configured to acquire a plurality of primary keyword and secondary keyword groups; a classifying unit configured to classify each of the plurality of secondary keywords by a plurality of topics; an estimating unit configured to estimate whether or not each primary keyword in the plurality of groups is a related keyword related to any topic having a classified secondary keyword or a mixed keyword unrelated to any of the topics; and an assigning unit configured to preferentially assign a primary keyword estimated to be a related keyword to a topic having a classified secondary keyword in the same group, and assigning a primary keyword estimated to be a mixed keyword to any of all the topics given for classification.

Abstract: Provided are techniques that ensure efficient database accesses by partitioning. The techniques includes a partition generating unit which generates a value partition in which a unit subtree including target data to be partitioned is separated and registered according to the target data, and a base partition which includes an index for uniquely identifying the unit subtree, an XML parser which identifies positions of a start to and an end tag defining an attribute value of the structured document and generates a cutting position list Corresponding to the hierarchical structure of the attribute value for registration in a storage area, an XML cutting unit which identifies the start tag position and the end tag position of the unit subtree to be cut, and separates the unit subtree and its index from the structured document, and a cut-XML registration unit which registers the unit subtree and the index in the separate partitions.

Abstract: An efficient extraction of a meaningful frequent itemsets. The present invention discloses a system that includes a decision unit that decides a new itemset that becomes an investigation target in the same sequence as searching an itemset tree in a depth-first manner and in descending order. The present invention further discloses a frequent occurrence determining unit that registers the frequency of occurrence of the new itemset in a table if the frequency of occurrence is equal to or more than a predetermined threshold. The present invention includes a correlation determining unit that determines whether there is a correlation between each item in the new itemset and a subset of remaining items that were removed from the new itemset. The present invention discloses a registration unit that registers the new itemset in a set of meaningful frequent itemsets if the determination is positive for all items of the new itemset.

Abstract: To provide an information processing apparatus, a database system, an information processing method, and a program which ensure efficient database accesses by partitioning.