431 citations · 857 across the 69 of their papers we have counts for
18 papers · 1 filter
Multi hash embeddings in spaCy
Lester James Miranda, Ákos Kádár, Adriane Boyd +3
The distributed representation of symbols is one of the key technologies in machine learning systems today, playing a pivotal role in modern natural language processing. Traditiona…
Are Pretrained Multilingual Models Equally Fair Across Languages?
Laura Cabello Piqueras, Anders Søgaard
Pretrained multilingual language models can help bridge the digital language divide, enabling high-quality NLP models for lower resourced languages. Studies of multilingual models…
Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold
Sebastian Ruder, Ivan Vulić, Anders Søgaard
The prototypical NLP experiment trains a standard architecture on labeled English data and optimizes for accuracy, without accounting for other dimensions such as fairness, interpr…
Ancestor-to-Creole Transfer is Not a Walk in the Park
Heather Lent, Emanuele Bugliarello, Anders Søgaard
We aim to learn language models for Creole languages for which large volumes of data are not readily available, and therefore explore the potential transfer from ancestor languages…
What a Creole Wants, What a Creole Needs
Heather Lent, Kelechi Ogueji, Miryam de Lhoneux +2
In recent years, the natural language processing (NLP) community has given increased attention to the disparity of efforts directed towards high-resource languages over low-resourc…
Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks
Ruixiang Cui, Daniel Hershcovich, Anders Søgaard
Logical approaches to representing language have developed and evaluated computational models of quantifier words since the 19th century, but today's NLU models still struggle to c…