公开(公告)号：US20240176806A1

公开(公告)日：2024-05-30

申请号：US18464689

申请日：2023-09-11

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jangsu LEE ,  Jehun JEON ,  Jiseung JEONG ,  Inkyu CHOI ,  GyuBum HAN

IPC: G06F16/33

CPC classification number: G06F16/334

Abstract: Disclosed is an entity linking method. A method includes: extracting an entity from an input context including text stored in a memory; obtaining candidate entities corresponding to, and based on, the extracted entity; determining a keyword based on the input context; generating keyword-based entity information based on the keyword and based on the extracted entity; and determining a top-matching entity corresponding to the entity based on the keyword-based entity information and the plurality of candidate entities.

公开(公告)号：US20210110817A1

公开(公告)日：2021-04-15

申请号：US17069927

申请日：2020-10-14

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jangsu LEE ,  Hoshik LEE ,  Jehun JEON

IPC: G10L15/18 ,  G10L15/16 ,  G10L15/02 ,  G10L13/027

Abstract: A speech generation method and apparatus are disclosed. The speech generation method includes obtaining, by a processor, a linguistic feature and a prosodic feature from an input text, determining, by the processor, a first candidate speech element through a cost calculation and a Viterbi search based on the linguistic feature and the prosodic feature, generating, at a speech element generator implemented at the processor, a second candidate speech element based on the linguistic feature or the prosodic feature and the first candidate speech element, and outputting, by the processor, an output speech by concatenating the second candidate speech element and a speech sequence determined through the Viterbi search.

公开(公告)号：US20200219015A1

公开(公告)日：2020-07-09

申请号：US16530549

申请日：2019-08-02

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jangsu LEE ,  Byungdeok KIM ,  Youngmin KIM ,  Woosuk KIM

IPC: G06N20/20 ,  G06N5/04 ,  H04L29/08 ,  G06K9/62

Abstract: A distributed inference system includes an end device and a server. The end device generates status information and generates an inference result corresponding to target data based on a first machine learning model. The server creates a second machine learning model based on the status information and a training dataset including the inference result, calculates an accuracy of the inference result, and provides the second machine learning model to the end device based on the accuracy.

公开(公告)号：US20240232579A1

公开(公告)日：2024-07-11

申请号：US18524053

申请日：2023-11-30

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： GyuBum HAN ,  Jehun JEON ,  Jangsu LEE ,  Jiseung JEONG ,  Inkyu CHOI

IPC: G06N3/045 ,  G06N3/048

CPC classification number: G06N3/045 ,  G06N3/048

Abstract: A method of expanding a knowledge graph and an electronic device for performing the method are provided. The electronic device includes a processor and the processor is configured to train a first neural network to extract the triplet using the training data, to compare quality of the trained first neural network to a threshold value using the validation data, to extract a new triplet by inputting the text data to the trained first neural network, to measure a first confidence of the new triplet using the trained first neural network, to measure a second confidence of the new triplet using a trained second neural network using a triplet labeled to the training data and a triplet labeled to the validation data, and to expand the knowledge graph based on the first confidence and the second confidence.

公开(公告)号：US20230126117A1

公开(公告)日：2023-04-27

申请号：US17698667

申请日：2022-03-18

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jehun JEON ,  Jangsu LEE ,  Inkyu CHOI ,  GyuBum HAN

IPC: G06F16/9535

Abstract: A user preference modeling method including receiving preference scores corresponding to items, receiving an input for selecting an item from among the items, decaying a preference score corresponding to one or more items from among the items included in a first list and a second list based on a time decay rate and a first parameter, in response to the selected item being included in the first list, decaying the preference score corresponding to the one or more items comp included in the first list and the second list based on a time decay rate and a second parameter, in response to the selected item being included in the second list, and increasing a preference score corresponding to the selected item, wherein the first list may include one or more of the plurality of items based on the preference scores, and wherein the first list is different from the second list.