Analysing Syntactic and Semantic Features in Pre-trained Language Models in a Fully Unsupervised Setting

Necva Bölücü, Burcu Can. Analysing Syntactic and Semantic Features in Pre-trained Language Models in a Fully Unsupervised Setting. In Md. Shad Akhtar, Tanmoy Chakraborty 0002, editors, Proceedings of the 19th International Conference on Natural Language Processing, ICON 2022, New Delhi, India, December 15-18, 2022. pages 19-31, Association for Computational Linguistics, 2022. [doi]

Abstract

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