National Institute of Information and Communications Technology, Incorporated

Kiyonori Ootake

Kentaro Torisawa

Chikara Hashimoto

Jonghoon Oh

Stijn De Saeger

Motoki Sano

Yutaka Kidawara

Takao Kawai

Ryu Iida

Junta Mizuno

Istvan Varga

[Object] To provide a system for automatically and reliably collecting information belonging to a given category, and matching the information appropriately in a timely manner. [Solution] A text classifying deviceanalyzes dependency of collected texts by a morpheme analyzing unitand a dependency analyzing unit. A problem report collecting unitspecifies a core consisting of noun+predicate in a text based on dependency relation of the text, and using a combination of noun classification (trouble/non-trouble) and predicate classification (excitatory/inhibitory), classifies the text to a problem report or the rest, by a method referred to as core-based matrix. Support information collecting deviceand request message collecting devicecollect support information and request messages in the similar manner. A matching devicematches problem reports and support information collected by problem report collecting unitand support information collecting deviceby a method referred to as co-occurrence core matrix, and thus associates problem information (support information) with appropriate support information (problem information).

Text matching device and method, and text classification device and method

A credibility determining system enabling highly accurate credibility determination of given information includes causal relation knowledge DBand search scope constraint DB. Causal relation knowledge each includes a combination of cause and result parts, and time and position constraints associated with the causal relation. The credibility determining system further includes a query generating unitretrieving a causal relation matching the input information and based on the time and position constraints stored in search scope constraint DBin association with the retrieved causal relation, generating a query for retrieving remarks from mini-blog text DB, a text search unitsearching for related remarks from mini-blog text DBusing the query, and a display candidate selecting unitclassifying the searched remarks to expressions interpreted as causes or to results, determining credibility of the input information based on the classification result and outputting the determination result.

System and method for determining credibility of information based on many remarks on a network, and non-transitory computer readable storage medium having stored thereon computer program therefor

A question-answering system capable of appropriately answering a non-factoid question. The question-answering system responsive to a question, for taking out answer candidates from an object document storage unit; extracting plausible ones from the answer candidates; recognizing causal relation expression included in extracted answer candidates; determining whether or not a recognized causal relation is relevant as an answer; generating a feature vector related to a combination of the question and the searched answer candidate; and for calculating, when a feature vector is given, a score indicating a degree of how correct an answer candidate is as an answer to the question, for the question and the answer candidate as a source of the feature vector, and for outputting, as the answer to the question, an answer candidate having the highest score.

Non-factoid question-answering system and method

An annotation data generation assisting system includes: an input/output device receiving an input through an interactive process; morphological analysis systemand 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.

Annotation assisting apparatus and computer program therefor

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Tokyo, Japan

Kiyonori Ootake