Abstract
In the light of recent developments in NLP, the problem of understanding and interpreting large language models has gained a lot of urgency. Methods developed to study this area are subject to considerable scrutiny. In this work, we take a closer look at one such method, the structural probe introduced by Hewitt and Manning (2019). We run a series of experiments involving multiple languages, focusing principally on the group of Slavic languages. We show that probing results can be seen as a reflection of linguistic classification, and conclude that multilingual BERT learns facts about languages and their groups.
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CITATION STYLE
Mysiak, A., & Cyranka, J. (2023). Is German secretly a Slavic language? What BERT probing can tell us about language groups. In EACL 2023 - 9th Workshop on Slavic Natural Language Processing, Proceedings of the SlavicNLP 2023 (pp. 86–93). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.bsnlp-1.11
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