| Distilling translations with visual awareness J Ive, P Madhyastha, L Specia arXiv preprint arXiv:1906.07701, 2019 | 96 | 2019 |
| Hierarchical neural model with attention mechanisms for the classification of social media text related to mental health J Ive, G Gkotsis, R Dutta, R Stewart, S Velupillai Proceedings of the fifth workshop on computational linguistics and clinical …, 2018 | 92 | 2018 |
| Exploring transformer text generation for medical dataset augmentation A Amin-Nejad, J Ive, S Velupillai Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020 | 84 | 2020 |
| Generation and evaluation of artificial mental health records for natural language processing J Ive, N Viani, J Kam, L Yin, S Verma, S Puntis, RN Cardinal, A Roberts, ... NPJ digital medicine 3 (1), 69, 2020 | 69* | 2020 |
| DeepQuest: a framework for neural-based quality estimation J Ive, F Blain, L Specia Proceedings of the 27th International Conference on Computational …, 2018 | 60 | 2018 |
| Simultaneous machine translation with visual context O Caglayan, J Ive, V Haralampieva, P Madhyastha, L Barrault, L Specia arXiv preprint arXiv:2009.07310, 2020 | 28 | 2020 |
| A post-editing dataset in the legal domain: Do we underestimate neural machine translation quality? J Ive, L Specia, S Szoc, T Vanallemeersch, J Van den Bogaert, E Farah, ... Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020 | 19 | 2020 |
| Self-supervised detection of contextual synonyms in a multi-class setting: Phenotype annotation use case J Zhang, L Bolanos, T Li, A Tanwar, G Freire, X Yang, J Ive, V Gupta, ... arXiv preprint arXiv:2109.01935, 2021 | 18 | 2021 |
| Revisiting contextual toxicity detection in conversations A Anuchitanukul, J Ive, L Specia ACM Journal of Data and Information Quality 15 (1), 1-22, 2022 | 17* | 2022 |
| Is artificial data useful for biomedical Natural Language Processing algorithms? Z Wang, J Ive, S Velupillai, L Specia Proceedings of the 18th BioNLP Workshop and Shared Task, 240-249, 2019 | 15 | 2019 |
| Exploiting multimodal reinforcement learning for simultaneous machine translation J Ive, AM Li, Y Miao, O Caglayan, P Madhyastha, L Specia arXiv preprint arXiv:2102.11387, 2021 | 14 | 2021 |
| Reassessing the proper place of man and machine in translation: a pre-translation scenario J Ive, A Max, F Yvon Machine Translation 32 (4), 279-308, 2018 | 13 | 2018 |
| Limsi@ wmt’15: Translation task B Marie, A Allauzen, F Burlot, QK Do, J Ive, E Knyazeva, M Labeau, ... Proceedings of the Tenth Workshop on Statistical Machine Translation, 145-151, 2015 | 12 | 2015 |
| Diagnosing high-quality statistical machine translation using traces of post-edition operations J Ive, A Max, F Yvon, P Ravaud International Conference on Language Resources and Evaluation-Workshop on …, 2016 | 11 | 2016 |
| Leveraging the potential of synthetic text for AI in mental healthcare J Ive Frontiers in Digital Health, 213, 2022 | 10 | 2022 |
| KCL-Health-NLP@ CLEF eHealth 2018 Task 1: ICD-10 Coding of French and Italian Death Certificates with Character-Level Convolutional Neural Networks. J Ive, N Viani, D Chandran, A Bittar, S Velupillai CLEF (Working Notes), 2018 | 10 | 2018 |
| Deep copycat networks for text-to-text generation J Ive, PS Madhyastha, L Specia Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 9 | 2019 |
| Clinical utility of automatic phenotype annotation in unstructured clinical notes: intensive care unit use J Zhang, LDB Trujillo, A Tanwar, J Ive, V Gupta, Y Guo BMJ Health & Care Informatics 29 (1), 2022 | 8* | 2022 |
| Controlled text generation using T5 based encoder-decoder soft prompt tuning and analysis of the utility of generated text in AI DC Senadeera, J Ive arXiv preprint arXiv:2212.02924, 2022 | 7 | 2022 |
| Predicting actions to help predict translations Z Wu, J Ive, J Wang, P Madhyastha, L Specia arXiv preprint arXiv:1908.01665, 2019 | 7 | 2019 |
Lucia SpeciaProfessor, Imperial College London and Chief Scientist at Contex.aiVerified email at imperial.ac.uk
