Extracting Military Event Temporal Relations via Relative Event Time Prediction and Virtual Adversarial Training (2025.findings-naacl)
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| Challenge: | Existing models for extracting event temporal relations typically compare the relative times of events directly, neglecting the contextual information between event pairs. |
| Approach: | They propose a temporal relationship extraction model based on relative event time prediction and virtual adversarial training, MFRV. |
| Outcome: | The proposed model can capture and infer temporal relationships and can be generalized by generating adversarial samples. |
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| Challenge: | Existing temporal relation extraction models have low inter-annotator agreement due to lack of specificity of annotation guidelines . authors propose a method for annotating all temporal relations, including long-distance ones, which automates the process . |
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| Challenge: | Existing temporal extraction systems that extract temporal relations can be improved by using a resource that provides prior knowledge of the temporal order that events usually follow. |
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