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Towards the Automatic Analysis of the Structure of News Stories
2019
European Conference on Information Retrieval
News stories are distinct from other types of narratives in that they typically follow a complex and non-chronological time structure. This poses challenges to the narrative analysis of news, specifically with respect to the construction of event sequences. In this paper, we propose to segment news story text according to news schema categories, which allow for identifying sentences describing a news story's main action and other actions that happened beforehand or subsequently. To automate
dblp:conf/ecir/ZahidZBB19
fatcat:xw736idhtzeqrdqz53ewirve2q