Papers with Storyline generation

1 papers
Neural Storyline Extraction Model for Storyline Generation from News Articles (N18-1)

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Challenge: Existing approaches to storyline generation are domain dependent and cannot deal with unseen event types.
Approach: They propose a neural network-based approach to extract structured representations and evolution patterns of storylines without using annotated data.
Outcome: The proposed model outperforms state-of-the-art approaches on accuracy and efficiency on three news corpora and it is based on supervised models.

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