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.