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.
Ranked #1 on Entity Linking on ZESHEL
no code implementations • 21 Feb 2024 • Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Sanchaita Hazra, Ashish Sabharwal, Peter Clark
With the accumulation of data at an unprecedented rate, its potential to fuel scientific discovery is growing exponentially.
1 code implementation • 14 Nov 2023 • Dhruv Agarwal, Rajarshi Das, Sopan Khosla, Rashmi Gangadharaiah
We present BYOKG, a universal question-answering (QA) system that can operate on any knowledge graph (KG), requires no human-annotated training data, and can be ready to use within a day -- attributes that are out-of-scope for current KGQA systems.
no code implementations • 24 May 2023 • Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Manzil Zaheer, Jay-Yoon Lee, Hannaneh Hajishirzi, Andrew McCallum
Given a test question, CBR-MRC first retrieves a set of similar cases from a nonparametric memory and then predicts an answer by selecting the span in the test context that is most similar to the contextualized representations of answers in the retrieved cases.
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.