Electronics and Telecommunications Research Institute

Joon Ho Lim

Jeong Mu Heo

Myung Gil Jang

Hyun Ki Kim

Mi Ran Choi

Yong Jin Bae

Soo Jong Lim

Chung Hee Lee

Hyung Jik Lee

Sang Kyu Park

Ji Hyun Wang

Hyo Jung Oh

Pum Mo Ryu

Kyung Man Bae

Seon Hee Park

Soo Jun Park

Min Ho Kim

Ji Hee Ryu

Hyun Suk Kim

Chan Yong Park

Jae Won Jang

Sa Kwang Song

Hyun Chul Jang

Young Rae Kim

The present invention relates to an apparatus and method for automatically generating machine reading comprehension training data, and more particularly, to an apparatus and method for automatically generating and managing machine reading comprehension training data based on text semantic analysis. The apparatus for automatically generating machine reading comprehension training data according to the present invention includes a domain selection text collection unit configured to collect pieces of text data according to domains and subjects, a paragraph selection unit configured to select a paragraph using the pieces of collected text data and determine whether questions and correct answers are generatable, and a question and correct answer generation unit configured to generate questions and correct answers from the selected paragraph.

Apparatus and method for automatic generation of machine reading comprehension training data

A chatbot system and method conversing with other chatbots in place of a user. The chatbot system and method understand the purpose of conversation of a user, select chatbots to which the purpose of the user is to be transferred, converse with the selected chatbots in place of the user, and present the user with a result of conversation undertaken. The chatbot system converses with provider chatbots provided by property and service providers. The chatbot system includes a consumer chatbot that understands a purpose of conversation of a user, converses with the provider chatbots in place of the user, and provides a result of the conversation to the user.

Chatbot system and service method thereof

The language analysis method includes collecting an online document, performing coined word filtering on the collected document based on a predetermined coined word extraction pattern and a dictionary to extract a coined word candidate which corresponds to the coined word extraction pattern and is not registered in a coined stop word dictionary, performing morpheme analysis on the extracted coined word candidate to verify a coined word candidate which does not correspond to a predetermined part of speech and is not registered in a pre-stored morpheme dictionary, refining the coined word extraction pattern, based on a result of the verification and updating the verified coined word candidate in the coined stop word dictionary, and updating the verified coined word candidate in the morpheme dictionary, based on the result of the verification.

Online contextual advertisement intellectualization apparatus and method based on language analysis for automatically recognizing coined word

Provided are an interactive question answering apparatus and method, which improve an unnatural question sentence and prevent the impossibility of a question in a state which does not know additional information, thereby providing a multimodal-based question answering method enabling a person to provide a question like conversing. Also, a question answering service is exposed to potential product purchasers of content such as an image, video, audio, etc., thereby providing an environment available to advertisement market.

Interactive question-answering apparatus and method thereof

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

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.

Apparatus and method for amending language analysis error

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 a universal adapter for the personal health device (PHD) standardization of a non-standardized healthcare device and an operating method thereof. The universal adapter includes: an adapter interface device communicating with a non-standardized healthcare device, which does not follow PHD standardization, to collect measurement data measured by the non-standardized healthcare device; and a universal adapter device receiving the measurement data from the adapter interface device, generating a PHD standard message including the received measurement data, and transmitting the PHD standard message to a PHD gateway according to a PHD standard communication scheme.

Universal adapter for personal health device standardization of non-standardized healthcare device and operating method thereof

There is provided a daily activity recognition system using sensors installed in required positions in a home to recognize daily activities of an old person, the system including: a radio frequency (RF) management unit receiving data measured by a plurality of sensors installed in required positions in a home, recognizing a corresponding sensor transmitting the received data, and converting the received data into a basic activity corresponding to the recognized sensor; a buffer management unit storing the basic activity received from the wireless processing manager in an internal buffer; and a daily activity recognition unit recognizing daily activities of an old person at each point in time previously set, based on the basic activity stored in the buffer. The daily activities of the old person are recognized and stored in a database, thereby providing various services related to the health of the old person.

Growing community of inventors

Daejeon, South Korea

Joon Ho Lim