Our aim is to extract structured knowledge about these phenomena from long texts and to integrate this information in a neural self-attention model, in order to examine to what extent such knowledge can enhance the efficiency of a strong reading comprehension model applied to NarrativeQA.
we enhance self-attention with knowledge about entity coreference (Coref), their participation in events (SRL) and the relation between events in narrative discourse (Shallow Discourse Parsing (Xue et al., 2016), DR).