The document discusses challenges for machine learning models in extracting information about events from text. It describes different approaches to representing events, from single relations to complex structures of interconnected subevents, and issues around learning event representations, connectivity between subevents, and encoding temporal and causal relationships. Proper representation of events requires associating linguistic and ontological knowledge about events and their components.