Abstract: A transceiver includes a transmitter and a receiver connected to each other through a first line and a second line. The transmitter transmits signals having a first voltage range to the first line and the second line in a first mode, and transmits signals having a second voltage range less than the first voltage range to the first line and the second line in a second mode. When transmitting a first payload to the receiver, the transmitter is sequentially driven in the first mode, the second mode, and the first mode, and the transmitter transmits a clock training pattern and the first payload in the second mode.

Abstract: A transmitter includes a transmission controller which outputs original data through an original data lane, an encoder which encodes the original data into encoded data and outputs the encoded data through an encoded data lane, and a transmission driver which outputs the encoded data at a speed of M (M is a real number greater than 0) gigabits per second through a transmission and reception interface. The transmission driver provides a first clock signal corresponding to an output speed to the encoder, the encoder provides a second clock signal having a second frequency less than a first frequency of the first clock signal to the transmission controller, the transmission controller outputs the original data based on the second clock signal, and the encoder outputs the encoded data based on the first clock signal.

Abstract: A data receiver, which communicates with a data transmitter through a plurality of lanes, includes: a first reception unit which receives first data through a first lane; a second reception unit which receives second data through a second lane; and a detector which compares the first data and the second data to detect a skew between the first lane and the second lane. The first reception unit includes a first clock data recovery unit which recovers a first clock and first payload data from the first data. The first reception unit controls a loop speed of the first clock data recovery unit based on a skew level of the skew.

Abstract: 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.

Abstract: Disclosed herein are an apparatus and method for providing a search service based on important sentences. The apparatus for providing a search service based on important sentences includes memory in which at least one program and a previously trained word importance measurement model are recorded and a processor for executing the program. The program may include a word importance measurement unit for measuring the importance of each of multiple words included in input text in the corresponding input text based on the word importance measurement model and a sentence importance measurement unit for measuring the importance of each of at least one sentence included in the text based on the measured importance of each of the multiple words.

Abstract: Disclosed herein are an apparatus and method for providing a search service based on important sentences. The apparatus for providing a search service based on important sentences includes memory in which at least one program and a previously trained word importance measurement model are recorded and a processor for executing the program. The program may include a word importance measurement unit for measuring the importance of each of multiple words included in input text in the corresponding input text based on the word importance measurement model and a sentence importance measurement unit for measuring the importance of each of at least one sentence included in the text based on the measured importance of each of the multiple words.

Abstract: 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.

Abstract: Provided is a system for creating a news article containing an indirect advertisement, the system including an advertisement database including an advertisement item and an indirect advertisement composed of text matching the advertisement item, an advertisement search unit configured to, when a text-type original news article to be exposed to a webpage is input, search the database for an indirect advertisement candidate matching the original news article and select an advertisement candidate list, an advertisement position determination unit configured to determine a paragraph of the original news article into which a selected advertisement is to be inserted, and an advertisement phrase creation unit configured to create a news article containing an advertisement by inserting the selected advertisement into the paragraph of the original news article and expose the created news article.

Abstract: 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.

Abstract: 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.

Abstract: Provided are a method and apparatus for searching of a similar patent based on element alignment. The method includes: extracting patent elements from an input query patent, extracting search words from the elements, and searching for a similar patent; aligning the elements of the query patent with elements of a similar patent obtained through the search and calculating a matching rate; determining whether any element has been unmatched between the elements of the query patent and the elements of the similar patent and extracting an unmatched element; determining whether an additional search is necessary and causing a user to input a paraphrase suitable to additionally search for the unmatched element when an additional search is necessary; and receiving the paraphrase input by the user, changing the unmatched element for the received paraphrase, and returning to the searching for a similar patent using the changed paraphrase.

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: 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.

Abstract: 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.