Deep Learning for Natural Language Processing KU Leuven
As the amount of unstructured text data grows dramatically, the need to intelligently process those text data and extract different types of knowledge from it is also remarkably increasing. One of the goals in natural language processing is to develop general and scalable methods that have the ability to jointly solve tasks like extracting information from big unstructured data, sentiment analysis in social networks and grammatical analysis ...