| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 3181 | 2023 |
| Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization S Narayan, SB Cohen, M Lapata Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 1794 | 2018 |
| On Faithfulness and Factuality in Abstractive Summarization J Maynez, S Narayan, B Bohnet, R McDonald Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 1295 | 2020 |
| Ranking Sentences for Extractive Summarization with Reinforcement Learning S Narayan, SB Cohen, M Lapata The 16th Annual Conference of the North American Chapter of the Association …, 2018 | 730 | 2018 |
| Creating Training Corpora for NLG Micro-Planners C Gardent, A Shimorina, S Narayan, L Perez-Beltrachini Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 583 | 2017 |
| Leveraging pre-trained checkpoints for sequence generation tasks S Rothe, S Narayan, A Severyn Transactions of the Association for Computational Linguistics 8, 264-280, 2020 | 518 | 2020 |
| The WebNLG challenge: Generating text from RDF data C Gardent, A Shimorina, S Narayan, L Perez-Beltrachini 10th International Conference on Natural Language Generation, 124-133, 2017 | 441 | 2017 |
| Hybrid Simplification using Deep Semantics and Machine Translation S Narayan, C Gardent Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 210 | 2014 |
| The GEM benchmark: Natural language generation, its evaluation and metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... arXiv preprint arXiv:2102.01672, 2021 | 165 | 2021 |
| Privacy-preserving Neural Representations of Text M Coavoux, S Narayan, SB Cohen Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 151 | 2018 |
| Planning with Learned Entity Prompts for Abstractive Summarization S Narayan, Y Zhao, J Maynez, G Simoes, V Nikolaev, R McDonald Transactions of the Association for Computational Linguistics 9, 1475–1492, 2021 | 136* | 2021 |
| Calibrating sequence likelihood improves conditional language generation Y Zhao, M Khalman, R Joshi, S Narayan, M Saleh, PJ Liu Proceedings of The Eleventh International Conference on Learning …, 2023 | 127 | 2023 |
| Split and Rephrase S Narayan, C Gardent, SB Cohen, A Shimorina Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 121 | 2017 |
| Sticking to the facts: Confident decoding for faithful data-to-text generation R Tian, S Narayan, T Sellam, AP Parikh arXiv preprint arXiv:1910.08684, 2019 | 101 | 2019 |
| Neural extractive summarization with side information S Narayan, N Papasarantopoulos, SB Cohen, M Lapata arXiv preprint arXiv:1704.04530, 2017 | 98 | 2017 |
| The webnlg challenge: Generating text from dbpedia data E Colin, C Gardent, Y M’rabet, S Narayan, L Perez 9th International Natural Language Generation conference, 163-167, 2016 | 67 | 2016 |
| Jointly Extracting and Compressing Documents with Summary State Representations A Mendes, S Narayan, S Miranda, Z Marinho, AFT Martins, SB Cohen Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 66 | 2019 |
| Unsupervised sentence simplification using deep semantics S Narayan, C Gardent Proceedings of the 9th International Natural Language Generation conference …, 2016 | 63 | 2016 |
| HighRES: Highlight-based Reference-less Evaluation of Summarization H Hardy, S Narayan, A Vlachos Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 56 | 2019 |
| Don’t give me the details, just the summary S Narayan, SB Cohen, M Lapata Topic-Aware Convolutional Neural Networks for Extreme Summarization. ArXiv …, 2018 | 56 | 2018 |
Shay CohenUniversity of EdinburghVerificeret mail på inf.ed.ac.uk