30 citations · 50 across the 9 of their papers we have counts for
4 papers · 1 filter
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…
Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation
Daniel Loureiro, Alipio Jorge
Contextual embeddings represent a new generation of semantic representations learned from Neural Language Modelling (NLM) that addresses the issue of meaning conflation hampering t…
LIAAD at SemDeep-5 Challenge: Word-in-Context (WiC)
Daniel Loureiro, Alipio Jorge
This paper describes the LIAAD system that was ranked second place in the Word-in-Context challenge (WiC) featured in SemDeep-5. Our solution is based on a novel system for Word Se…
Affordance Extraction and Inference based on Semantic Role Labeling
Daniel Loureiro, Alípio Mário Jorge
Common-sense reasoning is becoming increasingly important for the advancement of Natural Language Processing. While word embeddings have been very successful, they cannot explain w…