Paula Czarnowska

I am a final year PhD student in the Natural Language and Information Processing group at the University of Cambridge Computer Laboratory, where I am advised by Prof Ann Copestake and Dr Ryan Cotterell. I am supported by the Vice-Chancellor's and Selwyn College Scholarship. Prior to starting my PhD I did the BSc in Computer Science at the University of St Andrews and completed the MPhil in Advanced Computer Science at the Computer Laboratory in Cambridge. During those degrees I was generously supported by the G. D. Fahrenheit Scholarship, awarded by the City Council of Gdansk.

I specialize in Natural Language Processing. My main research interests include cross-lingual learning and computational approaches to linguistic typology and morphology. I am fascinated by how world’s languages differ in their means of encoding meaning and hope that investigating those differences, alongside language similarities can facilitate building better, less biased NLP systems.

Publications

• Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics.
  Paula Czarnowska, Yogarshi Vyas and Kashif Shah.
  Transactions of the Association for Computational Linguistics (TACL 2021). [pdf, code]
• SIGMORPHON 2020 shared task 0: Typologically diverse morphological inflection.
  Ekaterina Vylomova, Jennifer White, Elizabeth Salesky, Sabrina J. Mielke, Shijie Wu, Edoardo Maria Ponti, Rowan Hall Maudslay, Ran Zmigrod, Josef Valvoda, Svetlana Toldova, Francis Tyers, Elena Klyachko, Ilya Yegorov, Natalia Krizhanovsky, Paula Czarnowska, Irene Nikkarinen, Andrew Krizhanovsky, Tiago Pimentel, Lucas Torroba Hennigen, Christo Kirov, Garrett Nicolai, Adina Williams, Antonios Anastasopoulos, Hilaria Cruz, Eleanor Chodroff, Ryan Cotterell, Miikka Silfverberg and Mans Hulden.
  Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology. [pdf]
• Morphologically Aware Word-Level Translation.
  Paula Czarnowska, Sebastian Ruder, Ryan Cotterell and Ann Copestake.
  Proceedings of the 2020 International Conference on Computational Linguistics (COLING 2020). [pdf, code]
• Don't forget the long tail! A comprehensive analysis of morphological generalization in bilingual lexicon induction.
  Paula Czarnowska, Sebastian Ruder, Edouard Grave, Ryan Cotterell and Ann Copestake.
  Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019). [pdf]
• Words are vectors, dependencies are matrices: learning word embeddings from dependency graphs.
  Paula Czarnowska, Guy Emerson and Ann Copestake.
  In Proceedings of the 13th International Conference on Computational Semantics (IWCS 2019). [pdf]

Teaching

• 2019, 2020 - Supervisor for Part IB/II Formal Models of Language
• 2019, 2020 - Supervisor and demonstrator/ticker for Part IA/IB Machine Learning and Real-world Data
• 2018 - Demonstrator/ticker for Part IA/IB Machine Learning and Real-world Data
• 2018 - Lead Demonstrator for MPhil ACS Overview of Natural Language Processing
• (external) 2018/2019 Tutor for the Supervised Learning and Natural Language Processing modules in the Cambridge Spark Applied Data Science London Bootcamp to industry professionals.

Contact

Email: pjc211@cl.cam.ac.uk
Department of Computer Science and Technology
University of Cambridge
15 JJ Thomson Avenue
Cambridge CB3 0FD

Last updated 10/08/2022