Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation.
EACL (to Appear), 2021
Ive, J., Li, A.M., Miao, Y., Caglayan, O., Madhyastha, P., Specia, L.
Julia Ive is a Lecturer in Natural Language Processing at Queen Mary University of London, UK. She is the author of many mono- and multimodal text generation approaches in Machine Translation and Summarisation. Currently, she is working on the theoretical aspects of style preservation and privacy-safety in artificial text generation.
download cv j.ive[at]qmul.ac.ukAdvisors: Prof. François Yvon, Associate Prof. Aurélien Max
Managed by Prof. Yike Guo
Managed by Prof. Lucia Specia
Managed by Prof. Lucia Specia
Managed by Prof. Robert Stewart
Advisors: Prof. François Yvon, Associate Prof. Aurélien Max
King's College London
Developed at the University of Sheffield, DeepQuest provides state-of-the-art models for multi-level Quality Estimation.
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Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
EACL (to Appear), 2021
Ive, J., Li, A.M., Miao, Y., Caglayan, O., Madhyastha, P., Specia, L.
EACL (to Appear), 2021
Ive, J., Wang, Z., Fomicheva, M., Specia, L.
Npj Digital Medicine, 2020
Ive, J. et al.
LREC, 2020
Amin-Nejad, A., Ive, J., & Velupillai, S.
EMNLP-IJCNLP, 2020
Ive, J., Madhyastha, P., & Specia, L.
BioNLP Workshop, 2019
Wang, Z., Ive, J., Velupillai, S., & Specia, L.
ACL, 2019
Ive, J., Madhyastha, P., & Specia, L.
Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, 2018
Ive, J., Gkotsis, G., Dutta, R., Stewart, R., & Velupillai, S.