Papers with real-world events

2 papers
FloDusTA: Saudi Tweets Dataset for Flood, Dust Storm, and Traffic Accident Events (2020.lrec-1)

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Challenge: Detecting events from tweets can help to predict real-world events precisely.
Approach: They propose to use tweets written in Arabic and Saudi dialects to identify events from tweets.
Outcome: The proposed system can detect flood, dust storm, traffic accident, and non-event.
Incorporating Circumstances into Narrative Event Prediction (2021.findings-emnlp)

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Challenge: Existing studies focus on mining the inter-events relationships while ignoring how the events happened.
Approach: They propose to incorporate event circumstances into the narrative event prediction by combining two multi-head attention modules and regularizing attention weights.
Outcome: The proposed model outperforms baseline models by 12.2%.

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