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]

@inproceedings{BolucuC22-0,
  title = {Analysing Syntactic and Semantic Features in Pre-trained Language Models in a Fully Unsupervised Setting},
  author = {Necva Bölücü and Burcu Can},
  year = {2022},
  url = {https://aclanthology.org/2022.icon-main.3},
  researchr = {https://researchr.org/publication/BolucuC22-0},
  cites = {0},
  citedby = {0},
  pages = {19-31},
  booktitle = {Proceedings of the 19th International Conference on Natural Language Processing, ICON 2022, New Delhi, India, December 15-18, 2022},
  editor = {Md. Shad Akhtar and Tanmoy Chakraborty 0002},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-959429-38-8},
}