27 citations · 94 across the 10 of their papers we have counts for
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cs.CL2021★ 26 cited
LMMS Reloaded: Transformer-based Sense Embeddings for Disambiguation and Beyond
Daniel Loureiro, Alípio Mário Jorge, Jose Camacho-Collados
Distributional semantics based on neural approaches is a cornerstone of Natural Language Processing, with surprising connections to human meaning representation as well. Recent Tra…
cs.CL2021★ 5 cited
Improving Portuguese Semantic Role Labeling with Transformers and Transfer Learning
Sofia Oliveira, Daniel Loureiro, Alípio Jorge
The Natural Language Processing task of determining "Who did what to whom" is called Semantic Role Labeling. For English, recent methods based on Transformer models have allowed fo…