3 papers
cs.CL2022
A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank
Dan Malkin, Tomasz Limisiewicz, Gabriel Stanovsky
We show that the choice of pretraining languages affects downstream cross-lingual transfer for BERT-based models. We inspect zero-shot performance in balanced data conditions to mi…
cs.CL2021
Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach
Koren Lazar, Benny Saret, Asaf Yehudai +3
We present models which complete missing text given transliterations of ancient Mesopotamian documents, originally written on cuneiform clay tablets (2500 BCE - 100 CE). Due to the…
cs.CL2021
Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation
Shahar Levy, Koren Lazar, Gabriel Stanovsky
Recent works have found evidence of gender bias in models of machine translation and coreference resolution using mostly synthetic diagnostic datasets. While these quantify bias in…