Natural Language Generation
Bachelor Thesis, Master Thesis
In the past few decades we have witnessed a fast growth of information content in all types of mass media. As the volume of published data grows, accessing and processing information in the shortest possible time is becoming of vital importance. Natural Language Generation (NLG) is the process of mapping from some underlying representation of information to a presentation of that information in an easily accessible textual or spoken form. NLG application spectrum includes question answering and recommendation systems, personalized assistants and human-computer interfaces, document summarizers and news generation machines. The goal of this thesis is to develop novel NLG approaches, design accurate evaluation methods and use NLG techniques for solving real-world problems.