Soongsil University

Jagvaral Batselem

Young Tack Park

Wan Gon Lee

Hyun Young Choi

Je Min Kim

Myoung Joong Jeon

Ji Houn Hong

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.

System and method for detecting incorrect triple

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.

Triple verification device and triple verification method

A mobile device for distinguishing a user's movement, a method therefor, and a method for generating a hierarchical tree model therefor. Particularly, the mobile device includes: an acceleration sensor; a buffer for collecting the acceleration data outputted from the acceleration sensor according to a user's specific movement; an extraction unit for extracting the characteristic elements of the user's specific movement based on the acceleration data collected by the buffer; and a movement judgment unit for determining to which class the user's specific movement belongs by inputting the characteristic elements extracted by the extraction unit into a pre-structured hierarchical tree model, wherein the hierarchical tree model is pre-structured based on the characteristic elements extracted for each movement.

Growing community of inventors

Seoul, South Korea

Jagvaral Batselem