| Bloom: A 176b-parameter open-access multilingual language model BS Workshop, TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, ... arXiv preprint arXiv:2211.05100, 2022 | 721 | 2022 |
| Why We Need New Evaluation Metrics for NLG J Novikova, O Dušek, AC Curry, V Rieser Proceedings of EMNLP 2017, 2017 | 458 | 2017 |
| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 447 | 2022 |
| The E2E Dataset: New Challenges For End-to-End Generation J Novikova, O Dušek, V Rieser SigDIAL 2017, Proceedings of the 18th Annual Meeting of the Special Interest …, 2017 | 341 | 2017 |
| Evaluating the state-of-the-art of end-to-end natural language generation: The E2E NLG Challenge O Dušek, J Novikova, V Rieser Journal of Computer Speech and Language 59, 123-156, 2019 | 213 | 2019 |
| To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detection A Balagopalan, B Eyre, F Rudzicz, J Novikova INTERSPEECH 2020, 2020 | 115 | 2020 |
| Findings of the E2E NLG challenge O Dušek, J Novikova, V Rieser INLG 2018, Proceedings of the 11th International Natural Language Generation …, 2018 | 114 | 2018 |
| RankMe: Reliable human ratings for natural language generation J Novikova, O Dušek, V Rieser NAACL 2018, 16th Annual Conference of the North American Chapter of the …, 2018 | 89 | 2018 |
| Crowd-sourcing NLG Data: Pictures Elicit Better Data J Novikova, O Lemon, V Rieser INLG 2016, Proceedings of the 9th International Natural Language Generation …, 2016 | 67 | 2016 |
| Comparing pre-trained and feature-based models for prediction of Alzheimer's disease based on speech A Balagopalan, B Eyre, J Robin, F Rudzicz, J Novikova Frontiers in aging neuroscience 13, 635945, 2021 | 52 | 2021 |
| Correlating natural language processing and automated speech analysis with clinician assessment to quantify speech-language changes in mild cognitive impairment and Alzheimer’s … A Yeung, A Iaboni, E Rochon, M Lavoie, C Santiago, M Yancheva, ... Alzheimer's research & therapy 13 (1), 109, 2021 | 46 | 2021 |
| A Design Model of Emotional Body Expressions in Non-humanoid Robots J Novikova, L Watts The Second International Conference on Human-Agent Interaction (HAI 2014), 2014 | 39 | 2014 |
| Comparing Acoustic-based Approaches for Alzheimer's Disease Detection A Balagopalan, J Novikova INTERSPEECH 2021, 2021 | 31 | 2021 |
| Towards Artificial Emotions to Assist Social Coordination in HRI J Novikova, L Watts International Journal of Social Robotics, 2014 | 31 | 2014 |
| Detecting cognitive impairments by agreeing on interpretations of linguistic features Z Zhu, J Novikova, F Rudzicz NAACL 2019, 17th Annual Conference of the North American Chapter of the …, 2019 | 29 | 2019 |
| Hybrid chat and task dialogue for more engaging hri using reinforcement learning I Papaioannou, C Dondrup, J Novikova, O Lemon 2017 26th IEEE International symposium on robot and human interactive …, 2017 | 28 | 2017 |
| The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech A Balagopalan, J Novikova, F Rudzicz, M Ghassemi NeurIPS 2018 Workshop Machine Learning for Health (ML4H), 2018 | 26 | 2018 |
| Referenceless Quality Estimation for Natural Language Generation O Dušek, J Novikova, V Rieser ICML 2017 workshop LGNL, 2017 | 26 | 2017 |
| It’s not the way you look, it’s how you move: validating a general scheme for robot affective behaviour J Novikova, G Ren, L Watts Human-Computer Interaction–INTERACT 2015: 15th IFIP TC 13 International …, 2015 | 15 | 2015 |
| Cross-language aphasia detection using optimal transport domain adaptation A Balagopalan, J Novikova, MBA Mcdermott, B Nestor, T Naumann, ... Machine Learning for Health Workshop, 202-219, 2020 | 12 | 2020 |
Verena RieserGoogle DeepMindVerified email at deepmind.com
