Assessing the ability of Transformer-based Neural Models to represent structurally unbounded dependencies

Assessing the ability of Transformer-based Neural Models to represent structurally unbounded dependencies Jillian Da Costa author Rui Chaves author 2020-01 text Proceedings of the Society for Computation in Linguistics 2020 Allyson Ettinger editor Gaja Jarosz editor Joe Pater editor Association for Computational Linguistics New York, New York conference publication da-costa-chaves-2020-assessing https://aclanthology.org/2020.scil-1.2/ 2020-01 12 21