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Span-Selective Linear Attention Transformers for Effective and Robust Schema-Guided Dialogue State Tracking
We demonstrate the effectiveness of our model on the Schema-Guided Dialogue (SGD) and MultiWOZ datasets.
Co-attentional Transformers for Story-Based Video Understanding
Inspired by recent trends in vision and language learning, we explore applications of attention mechanisms for visio-lingual fusion within an application to story-based video understanding.
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