In my bachelor thesis I’m looking into ways to generate text with deep neural networks. To be more specific, I’m trying to create […]
PeWe.NN OA-2017
Modelling the appropriateness of text posts
The volume of user generated content on the web grows every year. Web discussions are also affected by this trend, called the rise […]
Generative Adversarial Networks for Weather Forecast
Generative adversarial networks (GANs) are the new architecture of neural networks, in which two models are trained simultaneously and their adversarial relationship (playing […]
Learning Video Representations for Generating Descriptions
Eye-tracking is a great way to enhance the user experience. That can be either in the direct way, when using it as a […]
Automatic Text Summarization of Customer Reviews
In recent years there were a lot of advances in natural language processing. Some of them, especially base techniques of processing text are […]
Application of Neural Networks for Data Generation
In this work, we address neural networks as a generative model. We analyze neural networks in general and focus on the use of […]
Cross-Lingual Learning
Deep learning is revolutionizing natural language processing for English or Chinese, but other less developed languages (such as Slovak) simply can not use […]