I'm trying to build a cognitive model of how people learn a event representation from a sentence describing the event, based on St. John & McClelland's Sentence Gestalt Model.
However, while that model generated its own sentences based on the event to be described, I'm hoping to find a corpus that supplies me with the descriptive sentences required.
Since the event description I end up trying to extract from these sentences is likely to be rather ad hoc, I'm not simply looking for a corpus tagged with semantic information like FrameNet or PropBank (although any tagging is always a plus).
Rather, I'm hoping to get a corpus with a very limited scope of topic (e.g. traffic/weather reports, sport/game commentary, a catalog of product descriptions) and then use a combination of heuristics and Amazon's Mechanical Turk to get whatever semantic information I end up needing to train my model.