An Unsupervised Bayesian Modelling Approach for Storyline Detection on News Articles
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Nonparametric Bayesian Storyline Detection from Microtexts
2016-01-18 · WS 2016 11
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News events and social media are composed of evolving storylines, which capture public attention for a limited period of time. Identifying storylines requires integrating temporal and linguistic information, and prior wo…
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This paper reports on the Event StoryLine Corpus (ESC) v1.0, a new benchmark dataset for the temporal and causal relation detection. By developing this dataset, we also introduce a new task, the StoryLine Extraction from…
Natural Language InferenceQuestion AnsweringRelationRelation Extraction+1Neural Storyline Extraction Model for Storyline Generation from News Articles
2018-06-01 · NAACL 2018 6
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Storyline generation aims to extract events described on news articles under a certain news topic and reveal how those events evolve over time. Most approaches to storyline generation first train supervised models to ext…
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