Towards exploiting background knowledge for building conversation systems N Moghe, S Arora, S Banerjee, MM Khapra arXiv preprint arXiv:1809.08205, 2018 | 184 | 2018 |
A dataset for building code-mixed goal oriented conversation systems S Banerjee, N Moghe, S Arora, MM Khapra arXiv preprint arXiv:1806.05997, 2018 | 36 | 2018 |
Multi3NLU++: A multilingual, multi-intent, multi-domain dataset for natural language understanding in task-oriented dialogue N Moghe, E Razumovskaia, L Guillou, I Vulić, A Korhonen, A Birch arXiv preprint arXiv:2212.10455, 2022 | 16 | 2022 |
ACES: Translation accuracy challenge sets for evaluating machine translation metrics C Amrhein, N Moghe, L Guillou arXiv preprint arXiv:2210.15615, 2022 | 16 | 2022 |
Cross-lingual intermediate fine-tuning improves dialogue state tracking N Moghe, M Steedman, A Birch arXiv preprint arXiv:2109.13620, 2021 | 16 | 2021 |
Extrinsic evaluation of machine translation metrics N Moghe, T Sherborne, M Steedman, A Birch arXiv preprint arXiv:2212.10297, 2022 | 10 | 2022 |
The university of edinburgh-uppsala university’s submission to the wmt 2020 chat translation task N Moghe, C Hardmeier, R Bawden Fifth Conference on Machine Translation, 473-478, 2020 | 7 | 2020 |
On incorporating structural information to improve dialogue response generation N Moghe, P Vijayan, B Ravindran, MM Khapra arXiv preprint arXiv:2005.14315, 2020 | 6 | 2020 |
ACES: Translation accuracy challenge sets at WMT 2023 C Amrhein, N Moghe, L Guillou arXiv preprint arXiv:2311.01153, 2023 | 2 | 2023 |
Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets N Moghe, A Fazla, C Amrhein, T Kocmi, M Steedman, A Birch, R Sennrich, ... arXiv preprint arXiv:2401.16313, 2024 | 1 | 2024 |
Interpreting User Requests in the Context of Natural Language Standing Instructions N Moghe, P Xia, J Andreas, J Eisner, B Van Durme, H Jhamtani arXiv preprint arXiv:2311.09796, 2023 | | 2023 |