1 code implementation • NAACL 2022 • Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum
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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no code implementations • 22 Dec 2021 • Tanay Agrawal, Dhruv Agarwal, Michal Balazia, Neelabh Sinha, Francois Bremond
Personality computing and affective computing have gained recent interest in many research areas.
no code implementations • 15 Oct 2021 • Dhruv Agarwal, Tanay Agrawal, Laura M. Ferrari, François Bremond
Multimodal Deep Learning has garnered much interest, and transformers have triggered novel approaches, thanks to the cross-attention mechanism.
1 code implementation • 2 Sep 2021 • Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum
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.
2 code implementations • 14 Nov 2020 • Augustin Harter, Andrew Melnik, Gaurav Kumar, Dhruv Agarwal, Animesh Garg, Helge Ritter
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.