Deep Learning approach: We trained and evaluated three variants of the c2f algorithm: c2f trained on DROC (c2f D) for 75000 steps, c2f trained on the fairy tales (c2f FT) for about 50000 steps and c2f pre-trained on DROC for 75000 steps and fine-tuned on the fairy tales for an additional 20000 steps (c2f D+FT)<ref xmlns="http://www.tei-c.org/ns/1.0" target="ftn3" n="3" />. The maximum number of words a span may contain was reduced from 30 to 4 since the mentions annotated in DROC and the fairy tales are significantly shorter than the mentions in most English corpora. As language model we used a German ELMo model trained on Wikipedia (May, 2019)<ref xmlns="http://www.tei-c.org/ns/1.0" target="ftn4" n="4" />.