1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CL2020
Gender Coreference and Bias Evaluation at WMT 2020
Tom Kocmi, Tomasz Limisiewicz, Gabriel Stanovsky
Gender bias in machine translation can manifest when choosing gender inflections based on spurious gender correlations. For example, always translating doctors as men and nurses as…
cs.CL2020★ 1 cited
Syntax Representation in Word Embeddings and Neural Networks -- A Survey
Tomasz Limisiewicz, David Mareček
Neural networks trained on natural language processing tasks capture syntax even though it is not provided as a supervision signal. This indicates that syntactic analysis is essent…
cs.CL2020
Universal Dependencies according to BERT: both more specific and more general
Tomasz Limisiewicz, Rudolf Rosa, David Mareček
This work focuses on analyzing the form and extent of syntactic abstraction captured by BERT by extracting labeled dependency trees from self-attentions. Previous work showed that…