| Bloom: A 176b-parameter open-access multilingual language model T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... | 1280 | 2023 |
| Why we need new evaluation metrics for NLG J Novikova, O Dušek, AC Curry, V Rieser arXiv preprint arXiv:1707.06875, 2017 | 514 | 2017 |
| The E2E dataset: New challenges for end-to-end generation J Novikova, O Dušek, V Rieser arXiv preprint arXiv:1706.09254, 2017 | 398 | 2017 |
| Evaluating the state-of-the-art of end-to-end natural language generation: The e2e nlg challenge O Dušek, J Novikova, V Rieser Computer Speech & Language 59, 123-156, 2020 | 320* | 2020 |
| Benchmarking natural language understanding services for building conversational agents X Liu, A Eshghi, P Swietojanski, V Rieser Increasing naturalness and flexibility in spoken dialogue interaction: 10th …, 2021 | 258 | 2021 |
| An arabic twitter corpus for subjectivity and sentiment analysis E Refaee, V Rieser 9th International Language Resources and Evaluation Conference, 2268-2273, 2014 | 212 | 2014 |
| Reinforcement learning for adaptive dialogue systems: a data-driven methodology for dialogue management and natural language generation V Rieser, O Lemon Springer Science & Business Media, 2011 | 194 | 2011 |
| Twenty years of confusion in human evaluation: NLG needs evaluation sheets and standardised definitions DM Howcroft, A Belz, M Clinciu, D Gkatzia, SA Hasan, S Mahamood, ... 13th International Conference on Natural Language Generation 2020, 169-182, 2020 | 181 | 2020 |
| SLURP: A spoken language understanding resource package E Bastianelli, A Vanzo, P Swietojanski, V Rieser arXiv preprint arXiv:2011.13205, 2020 | 175 | 2020 |
| Natural language generation as planning under uncertainty for spoken dialogue systems V Rieser, O Lemon Empirical methods in natural language generation, 105-120, 2009 | 127 | 2009 |
| # MeToo Alexa: how conversational systems respond to sexual harassment AC Curry, V Rieser Proceedings of the second acl workshop on ethics in natural language …, 2018 | 108 | 2018 |
| Semantic noise matters for neural natural language generation O Dušek, DM Howcroft, V Rieser arXiv preprint arXiv:1911.03905, 2019 | 106 | 2019 |
| RankME: Reliable human ratings for natural language generation J Novikova, O Dušek, V Rieser arXiv preprint arXiv:1803.05928, 2018 | 105 | 2018 |
| Data-to-text generation improves decision-making under uncertainty D Gkatzia, O Lemon, V Rieser IEEE Computational Intelligence Magazine 12 (3), 10-17, 2017 | 96* | 2017 |
| Learning effective multimodal dialogue strategies from Wizard-of-Oz data: Bootstrapping and evaluation V Rieser, O Lemon Proceedings of ACL-08: HLT, 638-646, 2008 | 94 | 2008 |
| Anticipating safety issues in e2e conversational ai: Framework and tooling E Dinan, G Abercrombie, AS Bergman, S Spruit, D Hovy, YL Boureau, ... arXiv preprint arXiv:2107.03451, 2021 | 85 | 2021 |
| Agent-based modelling of land use dynamics and residential quality of life for future scenarios D Murray-Rust, V Rieser, DT Robinson, V Miličič, M Rounsevell Environmental Modelling & Software 46, 75-89, 2013 | 80 | 2013 |
| Modelling the impacts of land system dynamics on human well-being: Using an agent-based approach to cope with data limitations in Koper, Slovenia DT Robinson, D Murray-Rust, V Rieser, V Milicic, M Rounsevell Computers, Environment and Urban Systems 36 (2), 164-176, 2012 | 74 | 2012 |
| Implications for generating clarification requests in task-oriented dialogues V Rieser, JD Moore Proceedings of the 43rd Annual Meeting of the Association for Computational …, 2005 | 71 | 2005 |
| Crowd-sourcing nlg data: Pictures elicit better data J Novikova, O Lemon, V Rieser arXiv preprint arXiv:1608.00339, 2016 | 69 | 2016 |
Oliver LemonProfessor of Artificial Intelligence, Heriot-Watt University, Edinburgh, Director of Interaction Lab在 hw.ac.uk 的电子邮件经过验证
