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Julia Ive
Julia Ive
在 qmul.ac.uk 的电子邮件经过验证 - 首页
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引用次数
引用次数
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Distilling translations with visual awareness
J Ive, P Madhyastha, L Specia
arXiv preprint arXiv:1906.07701, 2019
912019
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
812018
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
782020
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
60*2020
DeepQuest: a framework for neural-based quality estimation
J Ive, F Blain, L Specia
Proceedings of the 27th International Conference on Computational …, 2018
572018
Simultaneous machine translation with visual context
O Caglayan, J Ive, V Haralampieva, P Madhyastha, L Barrault, L Specia
arXiv preprint arXiv:2009.07310, 2020
272020
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
172021
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
152020
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
142021
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
142019
Revisiting contextual toxicity detection in conversations
A Anuchitanukul, J Ive, L Specia
ACM Journal of Data and Information Quality 15 (1), 1-22, 2022
12*2022
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
122018
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
122015
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
102016
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
92019
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
92018
Leveraging the potential of synthetic text for AI in mental healthcare
J Ive
Frontiers in Digital Health, 213, 2022
72022
Predicting actions to help predict translations
Z Wu, J Ive, J Wang, P Madhyastha, L Specia
arXiv preprint arXiv:1908.01665, 2019
72019
Predicting moments of mood changes overtime from imbalanced social media data
F AlHamed, J Ive, L Specia
Proceedings of the Eighth Workshop on Computational Linguistics and Clinical …, 2022
62022
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
6*2022
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