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Diversity aware Event Prediction based on a Conditional Variational Autoencoder with Reconstruction

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Academic year: 2020

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Figure

Figure 1: The neural network architecture of our eventprediction model. ⊕ denotes vector concatenation.
Figure 2: The workflow of test data construction.
Table 3: Event prediction performance evaluated by automatic evaluation metrics. Each model is trained threetimes with different random seeds
Table 4: Next events generated by the deterministic and probabilistic models. We sampled 30 next events for eachcurrent event

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