Papers with detecting events
Self-regulation: Employing a Generative Adversarial Network to Improve Event Detection (P18-1)
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| Challenge: | Recent studies show that neural networks can be used for event detection but can be contaminated by spurious features. |
| Approach: | They propose a self-regulated learning approach by utilizing a generative adversarial network to generate spurious features. |
| Outcome: | The proposed method is highly effective and adaptable on the ACE 2005 and TAC-KBP 2015 corpora. |
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. |
MUSIED: A Benchmark for Event Detection from Multi-Source Heterogeneous Informal Texts (2022.emnlp-main)
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| Challenge: | Recent efforts to classify unstructured texts into specific types have been limited in practical scenarios. |
| Approach: | They propose to use Chinese text conversations and phone conversations to expand event detection to the scenarios involving informal and heterogeneous texts. |
| Outcome: | The proposed dataset is based on user reviews, text conversations, and phone conversations in a leading e-commerce platform for food service. |