Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics P Czarnowska, Y Vyas, K Shah Transactions of the Association for Computational Linguistics (TACL), 2021 | 85 | 2021 |
SIGMORPHON 2020 shared task 0: Typologically diverse morphological inflection E Vylomova, J White, E Salesky, SJ Mielke, S Wu, E Ponti, RH Maudslay, ... arXiv preprint arXiv:2006.11572, 2020 | 58 | 2020 |
Don't Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction P Czarnowska, S Ruder, E Grave, R Cotterell, A Copestake In Proceedings of the 2019 Conference on Empirical Methods in Natural …, 2019 | 41 | 2019 |
UniMorph 4.0: Universal Morphology K Batsuren, O Goldman, S Khalifa, N Habash, W Kieraś, G Bella, ... arXiv preprint arXiv:2205.03608, 2022 | 18 | 2022 |
Words are Vectors, Dependencies are Matrices: Learning Word Embeddings from Dependency Graphs P Czarnowska, G Emerson, A Copestake Proceedings of the 13th International Conference on Computational Semantics …, 2019 | 12 | 2019 |
Morphologically Aware Word-Level Translation P Czarnowska, S Ruder, R Cotterell, A Copestake Proceedings of the 2020 International Conference on Computational …, 2020 | 1 | 2020 |
Morphological competence in neural natural language processing P Czarnowska University of Cambridge, 2023 | | 2023 |
Lexical v. Morphosyntactic Cues to Dependencies P Czarnowska | | 2020 |