| Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models D Torregrosa, N Pasricha, M Masoud, BR Chakravarthi, J Alonso, ... Proceedings of Machine Translation Summit XVII: Translator, Project and User …, 2019 | 12 | 2019 |
| Nuig-dsi at the webnlg+ challenge: Leveraging transfer learning for rdf-to-text generation N Pasricha, M Arcan, P Buitelaar Proceedings of the 3rd International Workshop on Natural Language Generation …, 2020 | 4 | 2020 |
| Detecting bot behaviour in social media using digital DNA compression N Pasricha, C Hayes 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019 | 4 | 2019 |
| NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ... arXiv preprint arXiv:2112.02721, 2021 | 2 | 2021 |
| Aspects of terminological and named entity knowledge within rule-based machine translation models for under-resourced neural machine translation scenarios D Torregrosa, N Pasricha, M Masoud, BR Chakravarthi, J Alonso, ... arXiv preprint arXiv:2009.13398, 2020 | 2 | 2020 |
| NUIG-DSI’s submission to The GEM Benchmark 2021 N Pasricha, M Arcan, P Buitelaar Proceedings of the 1st Workshop on Natural Language Generation, Evaluation …, 2021 | | 2021 |
| Utilising Knowledge Graph Embeddings for Data-to-Text Generation N Pasricha, M Arcan, P Buitelaar Proceedings of the 3rd International Workshop on Natural Language Generation …, 2020 | | 2020 |
