4 citations · 6 across the 5 of their papers we have counts for
7 papers
Multilingual End to End Entity Linking
Mikhail Plekhanov, Nora Kassner, Kashyap Popat +5
Entity Linking is one of the most common Natural Language Processing tasks in practical applications, but so far efficient end-to-end solutions with multilingual coverage have been…
Entity Tagging: Extracting Entities in Text Without Mention Supervision
Christina Du, Kashyap Popat, Louis Martin +1
Detection and disambiguation of all entities in text is a crucial task for a wide range of applications. The typical formulation of the problem involves two stages: detect mention…
Open Vocabulary Extreme Classification Using Generative Models
Daniel Simig, Fabio Petroni, Pouya Yanki +4
The extreme multi-label classification (XMC) task aims at tagging content with a subset of labels from an extremely large label set. The label vocabulary is typically defined in ad…
Multilingual Autoregressive Entity Linking
Nicola De Cao, Ledell Wu, Kashyap Popat +7
We present mGENRE, a sequence-to-sequence system for the Multilingual Entity Linking (MEL) problem -- the task of resolving language-specific mentions to a multilingual Knowledge B…
STANCY: Stance Classification Based on Consistency Cues
Kashyap Popat, Subhabrata Mukherjee, Andrew Yates +1
Controversial claims are abundant in online media and discussion forums. A better understanding of such claims requires analyzing them from different perspectives. Stance classific…
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
Kashyap Popat, Subhabrata Mukherjee, Andrew Yates +1
Misinformation such as fake news is one of the big challenges of our society. Research on automated fact-checking has proposed methods based on supervised learning, but these appro…