4 citations · 5 across the 3 of their papers we have counts for
4 papers · 1 filter
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…
Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings
Mattia Atzeni, Mikhail Plekhanov, Frédéric A. Dreyer +4
Entity linking methods based on dense retrieval are an efficient and widely used solution in large-scale applications, but they fall short of the performance of generative models,…
EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing
Nora Kassner, Fabio Petroni, Mikhail Plekhanov +2
Existing work on Entity Linking mostly assumes that the reference knowledge base is complete, and therefore all mentions can be linked. In practice this is hardly ever the case, as…
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…