Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event
Prafulla Kumar Choubey, Aaron Lee, Ruihong Huang, Lu Wang · 2020
Understanding discourse structures of news articles is vital to effectively contextualize the occurrence of a news event.To enable computational modeling of news structures, we apply an existing theory of functional discourse structure for news articles that revolves around the main event and create a human-annotated corpus of 802 documents spanning over four domains and three media sources.Next, we propose several documentlevel neural-network models to automatically construct news content structures.Finally, we demonstrate that incorporating system predicted news structures yields new state-of-theart performance for event coreference resolution.The news documents we annotated are openly available and the annotations are publicly released for future research 1 .