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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 1
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portfolio
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publications
Gender Coreference and Bias Evaluation at WMT 2020
Published in Conference on Machine Translation, 2020
Recommended citation: Kocmi, Tom and Limisiewicz, Tomasz and Stanovsky, Gabriel (2020). "Gender Coreference and Bias Evaluation at WMT 2020" WMT 2020. https://aclanthology.org/2020.wmt-1.39.pdf
Universal Dependencies According to BERT: Both More Specific and More General
Published in Findings of EMNLP, 2020
Recommended citation: Limisiewicz, Tomasz and Mareček, David and Rosa, Rudolf (2020). "Universal Dependencies According to BERT: Both More Specific and More General" EMNLP Findings 2020. https://aclanthology.org/2020.findings-emnlp.245.pdf
Syntax Representation in Word Embeddings and Neural Networks – A Survey
Published in Conference Information Technologies - Applications and Theory, 2020
Recommended citation: Limisiewicz, Tomasz and Mareček, David (2020). "Syntax Representation in Word Embeddings and Neural Networks – A Survey" ITAT 2020. http://ceur-ws.org/Vol-2718/paper16.pdf
Introducing Orthogonal Constraint in Structural Probes
Published in Annual Meeting of the Association for Computational Linguistics, 2021
Recommended citation: Limisiewicz, Tomasz and Mareček, David (2021). "Introducing Orthogonal Constraint in Structural Probes" ACL 2021. https://aclanthology.org/2021.acl-long.36.pdf
Examining Cross-lingual Contextual Embeddings with Orthogonal Structural Probes
Published in Conference on Empirical Methods in Natural Language Processing, 2021
Recommended citation: Limisiewicz, Tomasz and Mareček, David (2021). "Examining Cross-lingual Contextual Embeddings with Orthogonal Structural Probes" EMNLP 2021. https://aclanthology.org/2021.emnlp-main.376.pdf
Don’t Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information
Published in Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP), 2022
Recommended citation: Tomasz Limisiewicz and David Mareček (2022). "Don’t Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information"GeBNLP 2022. https://aclanthology.org/2022.gebnlp-1.3.pdf
A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank
Published in NAACL (Awarded Outstanding Paper 🥳), 2022
Recommended citation: Dan Malkin, Tomasz Limisiewicz, and Gabriel Stanovsky (2022). "A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank"NAACL 2022. https://aclanthology.org/2022.naacl-main.361.pdf
Tokenization Impacts Multilingual Language Modeling: Assessing Vocabulary Allocation and Overlap Across Languages
Published in Findings of ACL, 2023
Recommended citation: Tomasz Limisiewicz, Jiří Balhar, and David Mareček (2023). "Tokenization Impacts Multilingual Language Modeling: Assessing Vocabulary Allocation and Overlap Across Languages"ACL Findings 2023. https://aclanthology.org/2023.findings-acl.350.pdf
Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation
Published in IJCNLP and AACL, 2023
Recommended citation: Bar Iluz, Tomasz Limisiewicz, Gabriel Stanovsky, and David Mareček (2023). "Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation" IJCNLP and AACL 2023. https://aclanthology.org/2023.ijcnlp-main.57.pdf
Debiasing Algorithm through Model Adaptation
Published in ICLR, 2024
Recommended citation: Limisiewicz, Tomasz and Mareček, David and Musil, Tomáš (2024). "Debiasing Algorithm through Model Adaptation" ICLR 2024. https://arxiv.org/pdf/2310.18913.pdf
MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling
Published in ACL, 2024
Recommended citation: Tomasz Limisiewicz, Terra Blevins, Hila Gonen, Orevaoghene Ahia and Luke Zettlemoyer (2024). "MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling"ACL 2024. https://arxiv.org/pdf/2403.10691
talks
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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