Abstract: The present invention relates to a context-based QA generation architecture, and an object of the present invention is to generate diverse QA pairs from a single context. To achieve the object, the present invention includes a latent variable generating network including at least one encoder and an artificial neural network (Multi-Layer Perceptron: MLP) and configured to train the artificial neural network using a first context, a first question, and a first answer, and generate a second question latent variable and a second answer latent variable by applying the trained artificial neural network to a second context, an answer generating network configured to generate a second answer by decoding the second answer latent variable, and a question generating network configured to generate a second question based on a second context and the second answer.

Abstract: Provided are a name service system and a method thereof.

Abstract: Provided are a name service system and a method thereof.

Abstract: The present invention discloses a remote control and management system comprising a remote management unit for registering remote sites, connection setting and system setting and managing by being interacting with a local terminal which is connected with a plurality of monitoring devices for monitorng the remote site, a remote monitoring unit for outputting audio/video data input from the monitoring devices, and event detecting unit for analyzing the monitored data transmitted from the monitoring devices, generating an event and reporting event occurrenct to the remote management unit and the remote monitoring unit, and a remote retrieving unit for retrieving and outputting the audio/video data corresponding to the event.