| Data-to-text generation with content selection and planning R Puduppully, L Dong, M Lapata Proceedings of the AAAI conference on artificial intelligence 33 (01), 6908-6915, 2019 | 262 | 2019 |
| Data-to-text generation with entity modeling R Puduppully, L Dong, M Lapata arXiv preprint arXiv:1906.03221, 2019 | 102 | 2019 |
| Brahmi-Net: A transliteration and script conversion system for languages of the Indian subcontinent A Kunchukuttan, R Puduppully, P Bhattacharyya Proceedings of the 2015 conference of the North American chapter of the …, 2015 | 43 | 2015 |
| Data-to-text generation with macro planning R Puduppully, M Lapata Transactions of the Association for Computational Linguistics 9, 510-527, 2021 | 37 | 2021 |
| IndicBART: A pre-trained model for indic natural language generation R Dabre, H Shrotriya, A Kunchukuttan, R Puduppully, MM Khapra, ... arXiv preprint arXiv:2109.02903, 2021 | 27 | 2021 |
| Transition-based syntactic linearization with lookahead features R Puduppully, Y Zhang, M Shrivastava Proceedings of the 2016 Conference of the North American Chapter of the …, 2016 | 19 | 2016 |
| The iit bombay smt system for icon 2014 tools contest A Kunchukuttan, R Pudupully, R Chatterjee, A Mishra, P Bhattacharyya NLP Tools Contest at ICON 2014, 2014 | 14 | 2014 |
| Data-to-text generation with variational sequential planning R Puduppully, Y Fu, M Lapata Transactions of the Association for Computational Linguistics 10, 697-715, 2022 | 12 | 2022 |
| Method and system for sharing content B Willis, S Natraj, A Shinde, T Agarwal, R Puduppully, SS Pulagala, ... US Patent 9,256,695, 2016 | 10 | 2016 |
| Indicnlg suite: Multilingual datasets for diverse nlg tasks in indic languages A Kumar, H Shrotriya, P Sahu, R Dabre, R Puduppully, A Kunchukuttan, ... arXiv preprint arXiv:2203.05437, 2022 | 6 | 2022 |
| University of Edinburgh’s submission to the document-level generation and translation shared task R Puduppully, J Mallinson, M Lapata Proceedings of the 3rd Workshop on Neural Generation and Translation, 268-272, 2019 | 6 | 2019 |
| Transition-Based Deep Input Linearization R Puduppully, Y Zhang, M Shrivastava | 6 | 2017 |
| Indicnlg benchmark: Multilingual datasets for diverse nlg tasks in indic languages A Kumar, H Shrotriya, P Sahu, A Mishra, R Dabre, R Puduppully, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 4 | 2022 |
| Merging Verb Senses of Hindi WordNet using Word Embeddings S Bhingardive, R Puduppully, D Singh, P Bhattacharyya | 4 | 2014 |
| Gemv2: Multilingual nlg benchmarking in a single line of code S Gehrmann, A Bhattacharjee, A Mahendiran, A Wang, A Papangelis, ... arXiv preprint arXiv:2206.11249, 2022 | 3 | 2022 |
| Multi-Document Summarization with Centroid-Based Pretraining R Puduppully, M Steedman arXiv preprint arXiv:2208.01006, 2022 | 1 | 2022 |
| IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages J Gala, PA Chitale, R AK, S Doddapaneni, V Gumma, A Kumar, J Nawale, ... arXiv preprint arXiv:2305.16307, 2023 | | 2023 |
| In-context Example Selection for Machine Translation Using Multiple Features A Kumar, A Kunchukuttan, R Puduppully, R Dabre arXiv preprint arXiv:2305.14105, 2023 | | 2023 |
| Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models R Puduppully, R Dabre, AT Aw, NF Chen arXiv preprint arXiv:2305.13085, 2023 | | 2023 |
| A Comprehensive Analysis of Adapter Efficiency N Mundra, S Doddapaneni, R Dabre, A Kunchukuttan, R Puduppully, ... arXiv preprint arXiv:2305.07491, 2023 | | 2023 |
Mirella LapataSchool of Informatics, Edinburgh UniversityVerified email at inf.ed.ac.uk
