[samgriesemer]

Very cool work but I'm a bit perplexed by their first example/diagram from the blog post (which is presumably cherry-picked?). The event "The dogs are waiting." overlapping with the event "The dogs are pulling the sled." seems like a poor joint labeling of the events. The two obviously cannot co-occur, and this feels like a pretty easy opportunity for the model to demonstrate its understanding of event disentanglement.

The remaining examples from the paper don't do much in the way of convincing me this is a one-off issue. The recognition of multiple events globally is good, but perhaps extra care should be taken at overlapping event boundaries (e.g. additional local constraints in the loss/regularization scheme that encourage event splitting or time boundaries "snapping-to-grid" if confidence of co-occurrence is low).