| 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 | 64 | 2021 |
| 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 | 19 | 2019 |
| 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 | 10 | 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 | 9 | 2020 |
| 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 |
| CURED4NLG: A Dataset for Table-to-Text Generation N Pasricha, M Arcan, P Buitelaar Proceedings of the 4th Conference on Language, Data and Knowledge, 374-384, 2023 | | 2023 |
| 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 |
