Abstract: An example electronic device includes a display, a communication circuit, a memory, and at least one processor configured to, based on a signal for requesting transmission of identification information including a call word for using first mode of an artificial intelligence assistant function of the electronic device being received, from another electronic device, through the communication circuit using first communication method, control the display to display a user interface for requesting user confirmation for transmission of the identification information; control the communication circuit to transmit the identification information to the another electronic device as a result of user confirmation through the user interface; and receive information for using a second communication method from the another electronic device.

Abstract: Provided are a system and method for answering a natural language question which show improved information retrieval performance. The system includes an index unit configured to analyze text of previously stored irregular documents and classify and index the irregular documents according to meanings of sentences or paragraphs, a database configured to receive and store the irregular documents indexed according to the meanings and transmitted from the index unit, a retrieval unit configured to extract an index word by semantically analyzing an input question and search the database for documents related to the extracted index word, and a provision unit configured to generate a correct answer to the question by analyzing the documents searched by the retrieval unit and provide the search results and the correct answer.

Abstract: The present invention is to provide an apparatus for searching information based on Wikipedia's contents comprising: a document converting part extracting fulltext documents, section title documents, info-box documents, category documents and definition statement documents from Wikipedia original documents and generating at least one of Wikipedia documents for questions and answers; a document indexing part analyzing the Wikipedia document for questions and answers, extracting POS-based index terms from the Wikipedia document for questions and answers, and generating a Wikipedia document index for questions and answers; a question analyzing part receiving a natural language question, analyzing a question pattern, an answer pattern and a question focus from the natural language question, and extracting document search keywords; a document searching part performing document search by using the document search keywords from the Wikipedia document index for questions and answers and generating document search res

Abstract: Disclosed are a method and apparatus for building information on an emotion lexicon. The method according to the disclosure may include: retrieving specific documents on the basis of a specific emotion expression lexeme to derive emotion basis lexemes of the emotion expression lexeme from sentences including the emotion expression lexeme; and deriving a new emotion basis lexeme determined among the derived emotion basis lexemes according to at least one predefined new lexeme criterion and then storing the new emotion basis lexeme in an emotion lexicon. The method may include writing emotion expression lexemes associated to the emotion basis lexemes and assigning an emotion strength to them by multiplying an emotion strength value associated with an emotion expression lexeme and a sum of weights associated with a plurality of modifiers of emotion expression lexemes.

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 natural language question answering system and method, and a paraphrase module are provided. The natural language question answering system includes a conversion module configured to generate a plurality of modified questions by paraphrasing a user's question; a plurality of question answering engines configured to receive each of the user's question and the modified questions, and select candidate answers corresponding to each of the user's question and the modified questions; and a detection module configured to detect at least one among the selected candidate answers as an answer.

Abstract: Disclosed are an apparatus, a system, and a method for searching for a power user in social media. The apparatus according to the present invention includes an input unit configured to receive a keyword corresponding to an interested object from a user; a communication unit configured to transmit a search request message including the received keyword and receive a search response message corresponding to the transmitted search request message; a controller configured to, when receiving the search response message, extract a search list in which power users related to the keyword are arranged according to a preset power ranking from the received search response message; a display unit configured to sequentially display the power users related to the keyword received from the user according to the preset power ranking based on the extracted search list; and a storage unit configured to store the extracted search list.

Abstract: Disclosed are an apparatus, a system, and a method for detecting complex issues based on social media analysis according to the present invention. A system for detecting complex issues based on social media analysis according to the present invention includes: a unit issue detecting unit configured to receive a keyword from a user terminal, and to detect per-type unit issues associated with the received keyword; a complex issue detecting unit configured to detect per-type complex issues from the detected per-type unit issues; a complex issue ranking unit configured to analyze the detected per-type complex issues, and to rank the per-type complex issues based on the analysis result; and a complex issue configuring unit configured to configure the ranked per-type complex issues in a predetermined form that enable users to induce a micro trend, and to provide the configured form to a user.

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.

Abstract: An image display apparatus for receiving and processing a broadcast signal and a method for operating the same are disclosed. The method includes receiving a notification through a network interface or a tuner, generating a promotion card object including the notification by processing the received notification by a card object generator, and displaying the promotion card object on a display.

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 knowledge evaluation apparatus, method, and system are provided. The knowledge evaluation apparatus includes an extraction module configured to extract at least one of triple information which is previously set with respect to a document for each field accumulated in an Internet community site; a classification module configured to classify and digitize the triple information extracted from the document for each field by a topic and an item; and a measurement module configured to measure knowledge maturity of the Internet community site based on the knowledge classified and digitized by the classification module.

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: An image display apparatus for receiving and processing a broadcast signal and a method for operating the same are disclosed. The method includes receiving a notification through a network interface or a tuner, generating a promotion card object including the notification by processing the received notification by a card object generator, and displaying the promotion card object on a display.

Abstract: Provided are a system and method for answering a natural language question which show improved information retrieval performance. The system includes an index unit configured to analyze text of previously stored irregular documents and classify and index the irregular documents according to meanings of sentences or paragraphs, a database configured to receive and store the irregular documents indexed according to the meanings and transmitted from the index unit, a retrieval unit configured to extract an index word by semantically analyzing an input question and search the database for documents related to the extracted index word, and a provision unit configured to generate a correct answer to the question by analyzing the documents searched by the retrieval unit and provide the search results and the correct answer.

Abstract: An apparatus and method for customer interaction service is provided. The apparatus for customer interaction comprises a customer interaction information DB configured to map voice of customer(VOC) with customer interaction information responding to the VOC by a service provider and store the result; a VOC collecting unit configured to collect VOC in a text or voice form; a VOC analyzing unit configured to extract target texts to be analyzed from the collected VOC and analyze the extracted text to provide analysis result including the subject of VOC; an interaction information searching unit configured to search VOC related to the collected VOC from the customer interaction information DB by using the analysis result; and a response providing unit configured to determine suitability of each customer interaction information related to the collected VOC to provide the best response to the customer based on the determined suitability.

Abstract: A natural language question answering system and method, and a paraphrase module are provided. The natural language question answering system includes a conversion module configured to generate a plurality of modified questions by paraphrasing a user's question; a plurality of question answering engines configured to receive each of the user's question and the modified questions, and select candidate answers corresponding to each of the user's question and the modified questions; and a detection module configured to detect at least one among the selected candidate answers as an 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 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: 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.