  This paper argues that a deeper understanding of narrative and the successful
generation of longer subjectively interesting texts is a vital bottleneck that
hinders the progress in modern Natural Language Processing (NLP) and may even
be in the whole field of Artificial Intelligence. We demonstrate that there are
no adequate datasets, evaluation methods, and even operational concepts that
could be used to start working on narrative processing.
