VRT wants to create automated summaries of news articles in Dutch.
To create these summaries, we are using a Deep-Learning model (encoder-decoder architecture), which takes as an input a text of arbitrary length of any language, and generates a semantically similar output text, again in any language.
We will train this model with training data provided by VRT so that the generated summaries will match the style that VRT has been using for headlines.