公开(公告)号：US20220138508A1

公开(公告)日：2022-05-05

申请号：US17106171

申请日：2020-11-29

Applicant: INSTITUTE FOR INFORMATION INDUSTRY

Inventor： Chu-Chun HUANG ,  Yu-Chuan YANG ,  Yen-Heng TSAO ,  Tzu-Ying CHEN ,  Po-Hsien CHIANG ,  Fu-Jheng JHENG

IPC: G06K9/62 ,  G06F40/284

Abstract: A device and a method for detecting a purpose of an article are provided. The device is configured to divide the article into a plurality of sentences and input the sentences to a feature identification model to generate a contextualized word vector corresponding to each of the sentences. The device further inputs the representation to a specific purpose detecting model to generate a distributed representation similarity of the article. When the distributed representation similarity of the article is greater than a threshold, the device determines that the article conforms to a specific purpose.

公开(公告)号：US20220147835A1

公开(公告)日：2022-05-12

申请号：US17111499

申请日：2020-12-03

Applicant: Institute For Information Industry

Inventor： Hsin-Yi KUO ,  Wen-Nan WANG ,  Jia-Wei KAO ,  Wen-Fa HUANG ,  Po-Hsien CHIANG ,  Fu-Jheng JHENG ,  Yi-Hsiu LEE ,  Yu-Chuan YANG

IPC: G06N5/02 ,  G06N5/04 ,  G06F40/279 ,  G06K9/62 ,  G06N3/08

Abstract: A knowledge graph construction system and method are disclosed. The system generates a recommended subject entity, at least one recommended object entity, and at least one recommended relation for a piece of text data according to the text data and a plurality of triples. The system displays the recommended object entity and the recommended relation at a current paragraph of the text data according to the recommended subject entity for user to select. The system receives a confirmed message related to the recommended subject entity, a recommended object entity selected by user from the at least one recommended object entity, and a recommended relation selected by user from the at least one recommended relation. The system adds the recommended subject entity and the selected recommended object entity and recommended relation to the triples, and constructs a current knowledge graph by using the triples according to the confirmed message.