Abstract: A disability level automatic judgment device is disclosed. The disability level automatic judgment device includes a processor and a memory. The processor is configured to create a diagnosis information graph according to a diagnosis content, to compare the diagnosis information graph and a standard disability graph, so as to determine a first disability level, and to generate a judgment result according to the first disability level. The memory is coupled to the processor, and the memory is configured to store the standard disability graph.

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.

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.

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.

Abstract: An inference system for data relation, method and system for generating marketing target groups are disclosed herein. The method includes the following operations: inputting a product name; determining a first group type of the product name from a specified data source according to the product name and finding a first interesting field and at least one first interesting data in the first interesting field corresponding to the first group type; establishing a customer persona model, wherein the customer persona model contains second group types, each of second group types has a second interesting field and at least one second interesting data in the second interesting field corresponding to the second group type; comparing the at least one second interesting data of the second group type of the customer persona model with the at least one first interesting data, and screening at least one marketing target group.