  Extracting who says what to whom is a crucial part in analyzing human
communication in today's abundance of data such as online news articles. Yet,
the lack of annotated data for this task in German news articles severely
limits the quality and usability of possible systems. To remedy this, we
present a new, freely available, creative-commons-licensed dataset for
quotation attribution in German news articles based on WIKINEWS. The dataset
provides curated, high-quality annotations across 1000 documents (250,000
tokens) in a fine-grained annotation schema enabling various downstream uses
for the dataset. The annotations not only specify who said what but also how,
in which context, to whom and define the type of quotation. We specify our
annotation schema, describe the creation of the dataset and provide a
quantitative analysis. Further, we describe suitable evaluation metrics, apply
two existing systems for quotation attribution, discuss their results to
evaluate the utility of our dataset and outline use cases of our dataset in
downstream tasks.
