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公开(公告)号：US20190213480A1
公开(公告)日：2019-07-11
申请号：US16245468
申请日：2019-01-11
Inventor： Joon Ho LIM , Mi Ran CHOI , Hyun Ki KIM , Min Ho KIM , Ji Hee RYU , Kyung Man BAE , Yong Jin BAE , Ji Hyun WANG , Hyung Jik LEE , Soo Jong LIM , Myung Gil JANG , Jeong HEO
IPC: G06N3/08 , G06F16/332 , G06N5/04 , G06F17/21
CPC classification number: G06N3/08 , G06F16/3329 , G06F17/21 , G06N5/04
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.
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公开(公告)号：US20170169009A1
公开(公告)日：2017-06-15
申请号：US15244100
申请日：2016-08-23
Inventor： Soo Jong LIM , Hyun Ki KIM , Sang Kyu PARK , Yong Jin BAE , Chung Hee LEE , Hyung Jik LEE , Joon Ho LIM , Myung Gil JANG , Mi Ran CHOI , Jeong HEO
IPC: G06F17/27
CPC classification number: G06F17/2785 , G06F17/2705 , G06F17/2755 , G06F17/278 , G10L15/01 , G10L15/32
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.
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公开(公告)号：US20230161973A1
公开(公告)日：2023-05-25
申请号：US17958852
申请日：2022-10-03
Inventor： Jeong HEO , Hyung Jik LEE , Joon Ho LIM , Min Ho KIM , Hyun Ki KIM , Ji Hee RYU , Kyung Man BAE , Yong Jin BAE , Soo Jong LIM , Myung Gil JANG , Mi Ran CHOI
IPC: G06F40/56 , G06F40/30 , G06F40/284
CPC classification number: G06F40/56 , G06F40/30 , G06F40/284
Abstract: The present disclosure relates to an apparatus for outputting a language model from which a bias has been removed. The apparatus according to the present disclosure includes a bias estimation model configured to estimate a bias of text to be generated, a bias determination unit configured to determine a bias of next text to be generated through the bias estimation model, and a deep learning-based text generation model configured to generate the next text based on a result of the determination of the bias of the next text.
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公开(公告)号：US20180011927A1
公开(公告)日：2018-01-11
申请号：US15239687
申请日：2016-08-17
Inventor： Hyung Jik LEE , Hyun Ki KIM , Sang Kyu Park , Yong Jin BAE , Chung Hee LEE , Soo Jong LIM , Joon Ho LIM , Myung Gil JANG , Mi Ran CHOI , Jeong HEO
IPC: G06F17/30
CPC classification number: G06F16/334 , G06F16/3329 , G06F16/3344 , G06F16/93 , G06F16/9535
Abstract: Provided is a natural language query answering method. The natural language query answering method includes generating a query axiom from an input query, generating answer candidates from the input query, filtering the answer candidates based on a similarity between the query axiom and the answer candidates, reasoning out the answer candidates by using at least one of an inductive reasoning method, a deductive reasoning method, and an abductive reasoning method, calculating reliability of the answer candidates, determining ranks of the answer candidates based on the calculated reliability, and comparing a threshold value with a reliability ratio of reliability of an answer candidate determined as No. 1 rank to reliability of an answer candidate determined as No. 2 rank, readjusting the determined ranks according to a result of the comparison, and detecting a No. 1 rank answer candidate, determined through the readjustment, as a final answer.
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Patent Agency Ranking
公开(公告)号：US20150324456A1
公开(公告)日：2015-11-12
申请号：US14602904
申请日：2015-01-22
Inventor： Young Rae KIM , Hyung Jik LEE , Jin Young MOON , Chang Seok BAE , Hyun Ki KIM
IPC: G06F17/30
CPC classification number: G06F17/30657 , G06F17/30011 , G06F17/30654 , G06F17/30696 , G06N5/00
Abstract: Provided is a question answering system with respect to a natural language question and a method thereof. The question answering system includes a candidate answer generating unit configured to extract a document mapped to an input natural language question, and generate candidate answers with respect to the natural language question from the extracted document, a text entailment recognizing unit configured to generate a text entailment recognition result representing a degree of association between multiple evidence sentences including the generated candidate answers and the natural language question, a list generating unit configured to generate a candidate answer list including the multiple evidence sentences in high association degree order on the basis of the text entailment recognition result, and an output unit configured to output the generated candidate answer list as a search result with respect to the natural language question.
Abstract translation: 提供了关于自然语言问题的问答系统及其方法。 所述问答系统包括：候选答案生成部，被配置为提取映射到输入自然语言问题的文档，并从所提取的文档生成关于自然语言问题的候选答案;文本携带识别单元，被配置为生成文本内容 识别结果表示包括所生成的候选答案和自然语言问题的多个证词之间的关联度;列表生成单元，被配置为基于文本含义生成包括高关联度顺序的多个证词的候选答案列表 识别结果，以及输出单元，被配置为输出所生成的候选答案列表作为关于自然语言问题的搜索结果。
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6.发明申请公开(公告)号：US20220108076A1
公开(公告)日：2022-04-07
申请号：US17496272
申请日：2021-10-07
Inventor： Yong Jin BAE , Joon Ho LIM , Min Ho KIM , Hyun KIM , Hyun Ki KIM , Ji Hee RYU , Kyung Man BAE , Hyung Jik LEE , Soo Jong LIM , Myung Gil JANG , Mi Ran CHOI , Jeong HEO
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.
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公开(公告)号：US20190166071A1
公开(公告)日：2019-05-30
申请号：US16123356
申请日：2018-09-06
Inventor： Joon Ho LIM , Hyun Ki KIM , Min Ho KIM , Ji Hee RYU , Kyung Man BAE , Yong Jin BAE , Ji Hyun WANG , Hyung Jik LEE , Soo Jong LIM , Myung Gil JANG , Mi Ran CHOI , Jeong HEO
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.
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8.发明申请NATURAL LANGUAGE QUESTION ANSWERING SYSTEM AND METHOD, AND PARAPHRASE MODULE 有权自然语言问题解答系统和方法，以及PARAPHRASE MODULE公开(公告)号：US20160140958A1
公开(公告)日：2016-05-19
申请号：US14945921
申请日：2015-11-19
Inventor： Jeong HEO , Young Rae KIM , Hyun Ki KIM , Pum Mo RYU , Yong Jin BAE , Hyo Jung OH , Chung Hee LEE , Hyung Jik LEE , Soo Jong LIM , Joon Ho LIM , Myung Gil JANG , Mi Ran CHOI
IPC: G10L15/18 , G10L15/10 , G10L15/193
CPC classification number: G06F17/2785 , G06F17/2795 , G06F17/289 , G06F17/30864
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 translation: 提供了一种自然语言问答系统和方法，并提供了一个释义模块。 自然语言问答系统包括：转换模块，被配置为通过改写用户的问题来产生多个修改的问题; 多个问题回答引擎，被配置为接收每个用户的问题和修改的问题，并且选择与每个用户的问题和修改的问题相对应的候选答案; 以及检测模块，被配置为检测所选择的候选答案中的至少一个作为答案。
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9.发明公开公开(公告)号：US20240176980A1
公开(公告)日：2024-05-30
申请号：US18452357
申请日：2023-08-18
Inventor： Hyung Jik LEE , Kyungman BAE , Minho KIM , HyunKi KIM , Jihyeon ROH , Jihee RYU , YONGJIN BAE , Myung Gil Jang
IPC: G06N3/006
CPC classification number: G06N3/006
Abstract: The present disclosure relates to a question answering system and method capable of inferring multiple correct answers. The question answering system capable of inferring multiple correct answers according to the present disclosure includes an input interface device configured to receive a query, a memory for storing a program that analyzes the query and searches for a paragraph with a high probability of including a correct answer through a document search, and a processor for executing the program, wherein the processor extracts a correct answer using a result of the searching for a paragraph with a high probability of including a correct answer, determines whether the extracted correct answer corresponds to multiple correct answers, and provides a correct answer extraction result.
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