Deep contextualized self-training for low resource dependency parsing G Rotman, R Reichart Transactions of the Association for Computational Linguistics 7, 695-713, 2019 | 49 | 2019 |
Bridging languages through images with deep partial canonical correlation analysis G Rotman, I Vulić, R Reichart Association for Computational Linguistics, 2018 | 25 | 2018 |
Multi-task active learning for pre-trained transformer-based models G Rotman, R Reichart Transactions of the Association for Computational Linguistics 10, 1209-1228, 2022 | 17 | 2022 |
Designing an automatic agent for repeated language–based persuasion games M Raifer, G Rotman, R Apel, M Tennenholtz, R Reichart Transactions of the Association for Computational Linguistics 10, 307-324, 2022 | 8 | 2022 |
Learning discrete structured variational auto-encoder using natural evolution strategies A Berliner, G Rotman, Y Adi, R Reichart, T Hazan arXiv preprint arXiv:2205.01324, 2022 | 6 | 2022 |
Model compression for domain adaptation through causal effect estimation G Rotman, A Feder, R Reichart Transactions of the Association for Computational Linguistics 9, 1355-1373, 2021 | 6 | 2021 |
Proceedings of the Second Workshop on Domain Adaptation for NLP E Ben-David, SB Cohen, R McDonald, B Plank, R Reichart, G Rotman, ... Proceedings of the Second Workshop on Domain Adaptation for NLP, 2021 | | 2021 |