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Found 5 papers, 3 papers with code
Entity Linking via Explicit Mention-Mention Coreference Modeling
Learning representations of entity mentions is a core component of modern entity linking systems for both candidate generation and making linking predictions.
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Entity Linking
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Multimodal Personality Recognition using Cross-Attention Transformer and Behaviour Encoding
Personality computing and affective computing have gained recent interest in many research areas.
From Multimodal to Unimodal Attention in Transformers using Knowledge Distillation
Multimodal Deep Learning has garnered much interest, and transformers have triggered novel approaches, thanks to the cross-attention mechanism.
Entity Linking and Discovery via Arborescence-based Supervised Clustering
Previous work has shown promising results in performing entity linking by measuring not only the affinities between mentions and entities but also those amongst mentions.
Solving Physics Puzzles by Reasoning about Paths
We propose a new deep learning model for goal-driven tasks that require intuitive physical reasoning and intervention in the scene to achieve a desired end goal.
