Papers with sub-event detection

1 papers
Sub-event detection from twitter streams as a sequence labeling problem (N19-1)

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Challenge: Existing methods for sub-event detection do not account for sequential nature of social media streams.
Approach: They propose to use a neural sequence architecture that explicitly accounts for the chronological order of posts to improve sub-event detection.
Outcome: The proposed method outperforms a graph-based state-of-the-art method for binary sub-event detection (2.7% micro-F1 improvement) it also outperformed a recurrent neural network model on the posts sequence level for labeled sub- events (2.4% bin-level improvement).

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