公开(公告)号：US11321622B2

公开(公告)日：2022-05-03

申请号：US16170460

申请日：2018-10-25

Applicant: FOUNDATION OF SOONGSIL UNIVERSITY INDUSTRY COOPERATION

Inventor： Young Tack Park ,  Myung Joong Jeon ,  Seok Hyun Bae ,  Je Min Kim ,  Hyun Kyu Park ,  Sung Hyuk Bang

IPC: G06F3/048 ,  G06N7/00 ,  G06F3/01 ,  G06N20/00

Abstract: A terminal device for generating user behavior data, a method for generating user behavior data, and a recording medium are provided. The disclosed terminal device may include a memory unit storing instructions readable by a computer; and a processor unit implemented to execute the instructions, where the processor unit may compute a probability distribution model for achieving the intentions of a user by using raw data related to time-dependent actions of the user and may generate user behavior data by using the probability distribution model, with the user behavior data comprising time series data in which multiple actions composing the intentions of the user are aligned in order.

公开(公告)号：US11562133B2

公开(公告)日：2023-01-24

申请号：US16696476

申请日：2019-11-26

Applicant: FOUNDATION OF SOONGSIL UNIVERSITY-INDUSTRY COOPERATION

Inventor： Young Tack Park ,  Wan Gon Lee ,  Jagvaral Batselem ,  Hyun Young Choi ,  Ji Houn Hong

IPC: G06F40/20 ,  G06F40/166 ,  G06K9/62 ,  G06N20/20

Abstract: Provided is an incorrect triple detection system including a triple selector configured to select a target triple (subject, type, object) in a knowledge base, a sampler configured to create a sentence model by connecting object triples sharing entities included in the target triple, a model builder configured to embed the sentence model into a vector space to create a training entity vector and build an embedding model, and an incorrect triple detector configured to detect an incorrect triple by inputting a test triple into the embedding model.

公开(公告)号：US11562177B2

公开(公告)日：2023-01-24

申请号：US16697238

申请日：2019-11-27

Applicant: Foundation of Soongsil University-Industry Cooperation

Inventor： Young Tack Park ,  Jagvaral Batselem ,  Wan Gon Lee

IPC: G06K9/00 ,  G06K9/62 ,  G06N3/08 ,  G06N3/04 ,  G06F17/16 ,  G06N20/20 ,  G06N20/10 ,  G06N5/04

Abstract: A triple verification method is provided. The triple verification method includes setting a triple having a source entity, a target entity, and a relation value between the source entity and the target entity by a setting unit, extracting a plurality of intermediate entities associated with the source entity and the target entity by the setting unit, defining a connection relation between the intermediate entity, the source entity, and the target entity and generating a plurality of connection paths connecting the source entity, the intermediate entity, and the target entity by a path generation unit, generating a matrix by embedding the plurality of connection paths into vector values by a first processing unit, calculating a feature map by performing a convolution operation on the matrix by a second processing unit, generating an encoding vector for each connection path by encoding the feature map by applying a bidirectional long short-term memory neural network (BiLSTM) technique by a third processing unit, and generating a state vector by summing the encoding vectors for each connection path by applying an attention mechanism and verifying the triple based on a similarity value between the relation value of the triple and the state vector by a determination unit.