Electronics and Telecommunications Research Institute

Pum Mo Ryu

Jeong Mu Heo

Chung Hee Lee

Myung Gil Jang

Hyun Ki Kim

Mi Ran Choi

Hyo Jung Oh

Yeo Chan Yoon

Yong Jin Bae

Soo Jong Lim

Joon Ho Lim

Yo Han Jo

Yoon Jae Choi

Sang Kyu Park

Hyeon Jin Kim

Hyo-Jung Oh

Soojong Lim

Miran Choi

Hyunki Kim

Changki Lee

Hyung Jik Lee

Young Rae Kim

YiGyu Hwang

Ji Ae Shin

Yoonjae Choi

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.

System and method for answering natural language question

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.

Question answering system and method for structured knowledgebase using deep natural language question analysis

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.

Natural language question answering system and method, and paraphrase module

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.

Apparatus, system, and method for searching for power user in social media

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.

Apparatus, system, and method for detecting complex issues based on social media analysis

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.

Processing method for social media issue and server device supporting the same

A question type and domain identifying apparatus includes: a question type identifier for recognizing the number of words of a user's question to identify whether the user's question is a query for performing information searching or a question for performing a question and answer (Q&A); a question domain distributor for distributing one of plural preset domain specialized Q&A engines, as a Q&A engine of the user's question based on the recognized word number; and a Q&A engine block, including the domain specialized Q&A engines, for selectively performing information searching or a Q&A with respect to the user's question in response to the distribution of the question domain distributor.

Question type and domain identifying apparatus and method

A method for stabilizing a knowledge graph includes: generating a knowledge graph in which same entities in a semantic relation list between entities provided as an input are represented as a single node based on names and types of the entities; computing, on the knowledge graph, semantic similarities between all potential entity pairs of same entity types by comparing, for each potential entity pair, a type of relation associated with an entity in the entity pair and an opponent entity to the entity; and selecting, based on the semantic similarities, a representative entity from each of semantically similar entity pairs on the knowledge graph and integrating an opponent entity to the representative entity into the representative entity. The method further includes computing relation weighted values between the entities by using a graph analysis and statistic information, and adding the weighted values to the knowledge graph.

Apparatus and method for knowledge graph stabilization

Growing community of inventors

Daejeon, South Korea

Pum Mo Ryu