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Found 4 papers, 1 papers with code
Event Causality Is Key to Computational Story Understanding
Cognitive science and symbolic AI research suggest that event causality provides vital information for story understanding.
Training Multimedia Event Extraction With Generated Images and Captions
Contemporary news reporting increasingly features multimedia content, motivating research on multimedia event extraction.
Synopses of Movie Narratives: a Video-Language Dataset for Story Understanding
Despite recent advances of AI, story understanding remains an open and under-investigated problem.
Multi-fold Correlation Attention Network for Predicting Traffic Speeds with Heterogeneous Frequency
We propose a Heterogeneous Spatial Correlation (HSC) model to capture the spatial correlation based on a specific measurement, where the traffic data of varying road segments can be heterogeneous (i. e. obtained with different sampling frequency).
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