公开(公告)号：US20230143110A1

公开(公告)日：2023-05-11

申请号：US17982963

申请日：2022-11-08

申请人： Hyundai Motor Company ,  Kia Corporation ,  Industry-Academic Cooperation Foundation, Yonsei University

发明人： Kyuyeol Han ,  Cheongjae Lee ,  Junseok Kim ,  Yo-Sub Han ,  Hyunjoon Cheon ,  Joonghyuk Hahn

IPC分类号： G06F40/253 ,  G06F40/284

CPC分类号： G06F40/253 ,  G06F40/284

摘要： A method of processing a natural language may include generating a grammar used for analyzing a natural language by compressing a plurality of languages including common elements so that resources and time required for recognizing a grammar of an input sentence may be reduced. The method of processing a natural language may include separating an input sentence in units of morphemes, recognizing a grammar of the input sentence separated in units of morphemes, and analyzing a meaning of the input sentence based on the recognized grammar. The recognizing of the grammar may include recognizing a grammar that matches the input sentence separated in units of morpheme from among a plurality of pre-stored grammars, and the plurality of pre-stored grammars may include at least one grammar obtained by compressing two or more grammars to which at least one element among a plurality of elements constituting a single grammar is common.

公开(公告)号：US20230290337A1

公开(公告)日：2023-09-14

申请号：US18081464

申请日：2022-12-14

申请人： Hyundai Motor Company ,  Kia Corporation

发明人： Soo Jong Do ,  Mirye Lee ,  Cheoneum Park ,  Seohyeong Jeong ,  Cheongjae Lee ,  Kyuyeol Han

IPC分类号： G10L15/06 ,  G06F40/242 ,  G06F40/284 ,  G06F40/117 ,  G06F40/126 ,  G10L15/22 ,  G10L15/18 ,  G06N20/00

CPC分类号： G10L15/063 ,  G06F40/242 ,  G06F40/284 ,  G06F40/117 ,  G06F40/126 ,  G10L15/22 ,  G10L15/1815 ,  G06N20/00 ,  G10L2015/223

摘要： A method for training a slot tagging model may, when an entity used for slot tagging is added, accurately perform slot tagging corresponding to the added entity only by adding new data to an external dictionary, without retraining, a computer-readable medium storing a program for performing the training method, a speech recognition apparatus providing a speech recognition service using the trained slot tagging model, and an electronic device used to provide the speech recognition service.

公开(公告)号：US20240037337A1

公开(公告)日：2024-02-01

申请号：US18205615

申请日：2023-06-05

申请人： Hyundai Motor Company ,  KIA CORPORATION

发明人： Cheoneum Park ,  Juae Kim ,  Cheongjae Lee ,  Soo Jong Do

IPC分类号： G06F40/284 ,  G06F40/205 ,  G06F40/268

CPC分类号： G06F40/284 ,  G06F40/205 ,  G06F40/268

摘要： A method of training a part-of-speech (POS) tagging model includes: separating an input sentence into units of syllables to generate an input sequence; encoding, using at least one encoder included in a part-of-speech (POS) tagging model, the input sequence; generating, based on the encoded input sequence and using a first discriminator included in the POS tagging model, a POS tagging result; and generating, based on the encoded input sequence and using a second discriminator included in the POS tagging model, a spacing result.

公开(公告)号：US20230205998A1

公开(公告)日：2023-06-29

申请号：US18065891

申请日：2022-12-14

申请人： Hyundai Motor Company ,  Kia Corporation

发明人： Cheoneum Park ,  Mirye Lee ,  Juae Kim ,  Cheongjae Lee ,  Donghyeon Lee

IPC分类号： G06F40/295 ,  G06F40/126 ,  G10L15/22 ,  G10L15/18 ,  G06F40/151 ,  G06F40/103

CPC分类号： G06F40/295 ,  G06F40/103 ,  G06F40/126 ,  G06F40/151 ,  G10L15/18 ,  G10L15/22

摘要： Provided is a named entity recognition system, including: an input module configured to recognize a speech input of a user and convert the speech input into text; a preprocessing module configured to separate the text in units of syllables and perform transformation; and a learning module configured to perform multi-task learning for recognizing a named entity and identifying a boundary of spacing with respect to the transformed text, and output a result of recognizing the named entity and a result of identifying the boundary of spacing, based on recognizing the named entity and identifying the boundary of spacing.

公开(公告)号：US20220258607A1

公开(公告)日：2022-08-18

申请号：US17673287

申请日：2022-02-16

申请人： Hyundai Motor Company ,  Kia Corporation

发明人： Cheoneum Park ,  Mirye Lee ,  Donghyeon Kim ,  Cheongjae Lee ,  Sung Wook Kim

IPC分类号： B60K35/00 ,  G06N3/04 ,  G06N5/04

摘要： A question-and-answer system providing an appropriate answer for a vehicle- related FAQ by using deep learning, and corresponding method are provided. The question-and-answer system includes: a memory that stores a plurality of representative questions to match a plurality of answers corresponding to the plurality of representative questions, respectively; a learning module configured to output a representative question corresponding to an input sentence from among the stored plurality of representative questions; and an output module configured to search the memory or an answer that matches the output representative question and output the found answer. The learning module is configured to perform multi task learning using a plurality of extended sentences for the plurality of representative questions as input data, and using the plurality of representative questions corresponding to the plurality of extended sentences, respectively, and a plurality of categories to which the plurality of extended sentences belong, respectively, as output data.