Abstract:
Disclosed is semantic frame operation, and disclosed are a text big data based semantic frame operating method including: collecting a predicate to be used as a semantic frame seed; configuring a synonym set for the collected predicate; collecting one or more examples in text big data in association with predicates included in the synonym set; extracting a semantic frame candidate by attaching a semantic case to the collected examples; performing error verification for the semantic frame candidate; and storing the semantic frame candidate subjected to the error verification as an extended semantic frame for the predicate, and an electronic device supporting the same.
Abstract:
Provided are an apparatus for analyzing an event time-space correlation in a social web media and an operating method thereof. The apparatus includes a collection unit configured to collect a text type of document data from the social web media, a storage unit configured to store an event keyword indicating an event and event-related information including event time-space information corresponding to the event keyword, an extraction unit configured to linguistically analyze the document data to extract the event keyword and the event-related information associated with the event keyword from the document data based on a result of the linguistic analysis, and an output unit configured to receive the event keyword and event-related information and convert the received event keyword and event-related information into visual information and output the visual information.
Abstract:
Disclosed are a question answering system for structured knowledgebase using deep natural language question analysis, and a method thereof, the question answering system for structured knowledgebase using deep natural language question analysis includes a deep natural language question analysis unit configured to create a structure of a semantic frame by analyzing a natural language question that is input, a question-intermediate expression creation unit configured to create a question-intermediate expression of a lexicon level based on the semantic frame, a knowledgebase-specialized query creation unit configured to create a query used to search in knowledgebase that is a subject of search, based on the question-intermediate expression, and a knowledgebase search unit configured to find a correct answer in the knowledgebase that is subject of search based on the query, to provide an accuracy of the correct answer, a confidence of the correct answer and an evidence for the correct answer.
Abstract:
A system and method for constructing a morpheme dictionary based on an automatic extraction of a non-registered word is provided. A non-registered word is automatically extracted based on a language-independent non-registered word automatic extraction method, and performance of a dictionary and a morpheme analysis is verified based on an automatic estimation by constructing a morpheme dictionary based on the automatically extracted non-registered word. Since the morpheme dictionary is constructed using only a dictionary in which a final verification is passed and it is helpful to improve the performance, the morpheme analysis can be properly performed on the non-registered word of a new field or a new word which newly appears as time passes.
Abstract:
Disclosed is an apparatus for providing an accurate automatic language translation service. A user terminal according to an exemplary embodiment of the present invention includes a display unit to display a translation option setting menu for a user with respect to a source sentence of which a category is designated and to be translated; a user input unit to receive, from the user, an input on setting of a translation option; a communication unit to transmit the translation option to a translation server, and to receive a translation result from the translation server; and a control unit to control operations of the display unit, the user input unit, and the communication unit. According to the present invention, a translation service for multilingual multimedia through a natural styled highly precise automatic translation is enabled.
Abstract:
Provided is a method of providing a shared neural model by a question-answering system, the method including: learning a shared neural model on the basis of initial model learning data; providing a plurality of user terminals with the shared neural model upon completing the learning of the shared neural model; upon the user terminal updating the shared neural model to a personalized neural model, collecting the updated personalized neural model; updating the shared neural model on the basis of the collected personalized neural model; and providing the updated shared neural model to the plurality of user terminals.
Abstract:
An apparatus for amending a language analysis error includes: a main language analyzer, which includes a plurality of language processing modules being sequentially connected to each other, and generates one best main analysis result for each processing module; a subsidiary language analyzer, which includes the plurality of language processing modules, and generates a plurality of subsidiary analysis results for each of the plurality of language processing modules; and an analysis result amender to in response to an error occurring in the main analysis result, acquire a subsidiary analysis result, and transmit the subsidiary analysis result to the main language analyzer.
Abstract:
An apparatus and method for updating a language analysis result are provided. The apparatus includes a storage unit configured to store language analysis result and language analysis metadata to be used for update of the language analysis result, and an update unit configured to reanalyze the language analysis metadata based on language knowledge which is added to language knowledge resources, and update the language analysis result based on the reanalyzed result.
Abstract:
Disclosed is a method of representing user language characteristics in a MPEG user description (MPEG-UD) system including receiving a request for a user description (UD) of the user language characteristics from a recommendation engine, calling the UD of the user language characteristics from a UD database, and transmitting the called UD of the user language characteristics to the recommendation engine.
Abstract:
The present invention relates to a social media question and answer service, and discloses a social media issue processing device and method. The method includes a question analyzing unit which analyzes a question type of an input question through a question pattern dictionary which is stored in advance; a social media analyzing unit which performs issue period recognition for the question, question type based analysis, question based summary creation, and question based reliability calculation; and a report creating unit which creates a summary in accordance with at least one of correlation between the question type and the question based summary, correlation between the issue period and the question type based analysis result, and correlation between the reliability and the question based summary.