Abstract:Event mentions in text correspond to realworld events of varying degrees of granularity. The task of subevent detection aims to resolve this granularity issue, recognizing the membership of multi-granular events in event complexes. Since knowing the span of descriptive contexts of event complexes helps infer the membership of events, we propose the task of event-based text segmentation (EVENTSEG) as an auxiliary task to improve the learning for subevent detection. To bridge the two tasks together, we propose a… Show more
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