The automatic generation of summaries from a collection of different types of texts on one subject is a current field of research, which is intensively researched at the Aiphes graduate school at the TU-Darmstadt, for example.

Different methods are used for this purpose, which originate from both machine learning and natural language processing.

In this practical course, students will be given the opportunity to familiarize themselves with these methods in small groups, to develop extensions and new methods and to apply them to a real data set. This dataset will contain a set of documents associated to a list of topics. In a second phase the participants will evaluate the summaries produced by other groups.