Julia Ive

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 43

Top Venues

University of Paris-Saclay, France (PHD)

Education History

University of Paris-Saclay, France

PHD

Publications

Jiayu Song, Jenny Chim, Adam Tsakalidis, Julia Ive, Dana Atzil-Slonim, Maria Liakata
Clinically meaningful timeline summarisation in social media for mental health monitoring. CoRR (2024)
Ram Popat, Julia Ive
Embracing the uncertainty in human-machine collaboration to support clinical decision-making for mental health conditions. Frontiers Digit. Health 5 (2023)
Atijit Anuchitanukul, Julia Ive, Lucia Specia
Revisiting Contextual Toxicity Detection in Conversations. ACM J. Data Inf. Qual. 15 (1) (2023)
Mohammed Ataaur Rahaman, Julia Ive
Source Code is a Graph, Not a Sequence: A Cross-Lingual Perspective on Code Clone Detection. CoRR (2023)
Heng-Yi Wu, Jingqing Zhang, Julia Ive, Tong Li, Narges Tabari, Bingyuan Chen, Vibhor Gupta, Yike Guo
Medical Scientific Table-to-Text Generation with Human-in-the-Loop under the Data Sparsity Constraint. CoRR (2022)
Damith Chamalke Senadeera, Julia Ive
Controlled Text Generation using T5 based Encoder-Decoder Soft Prompt Tuning and Analysis of the Utility of Generated Text in AI. CoRR (2022)
Hongshu Liu, Nabeel Seedat, Julia Ive
Modeling Disagreement in Automatic Data Labelling for Semi-Supervised Learning in Clinical Natural Language Processing. CoRR (2022)
Julia Ive
Leveraging the potential of synthetic text for AI in mental healthcare. Frontiers Digit. Health 4 (2022)
Ashwani Tanwar, Jingqing Zhang, Julia Ive, Vibhor Gupta, Yike Guo
Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge. CoRR (2022)
Atijit Anuchitanukul, Julia Ive
SURF: Semantic-level Unsupervised Reward Function for Machine Translation. NAACL-HLT (2022)
Julia Ive
Natural Language Processing: A Machine Learning Perspective by Yue Zhang and Zhiyang Teng. Comput. Linguistics 48 (1) (2022)
Jingqing Zhang, Luis Bolanos, Tong Li, Ashwani Tanwar, Guilherme Freire, Xian Yang, Julia Ive, Vibhor Gupta, Yike Guo
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case. CoRR (2021)
Jingqing Zhang, Luis Bolanos, Ashwani Tanwar, Albert Sokol, Julia Ive, Vibhor Gupta, Yike Guo
Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Cases. CoRR (2021)
Julia Ive, Andy Mingren Li, Yishu Miao, Ozan Caglayan, Pranava Madhyastha, Lucia Specia
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation. EACL (2021)
Julia Ive, Andy Mingren Li, Yishu Miao, Ozan Caglayan, Pranava Madhyastha, Lucia Specia
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation. CoRR (2021)
Julia Ive, Zixu Wang, Marina Fomicheva, Lucia Specia
Exploring Supervised and Unsupervised Rewards in Machine Translation. CoRR (2021)
Mark Turner, Julia Ive, Sumithra Velupillai
Linguistic Uncertainty in Clinical NLP: A Taxonomy, Dataset and Approach. CLEF (2021)
Jingqing Zhang, Luis Bolanos, Tong Li, Ashwani Tanwar, Guilherme Freire, Xian Yang, Julia Ive, Vibhor Gupta, Yike Guo
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case. EMNLP (1) (2021)
Julia Ive, Atijit Anuchitanukul, Lucia Specia
Revisiting Contextual Toxicity Detection in Conversations. CoRR (2021)
Julia Ive, Zixu Wang, Marina Fomicheva, Lucia Specia
Exploring Supervised and Unsupervised Rewards in Machine Translation. EACL (2021)
Julia Ive, Lucia Specia, Sara Szoc, Tom Vanallemeersch, Joachim Van den Bogaert, Eduardo Farah, Christine Maroti, Artur Ventura, Maxim Khalilov
A Post-Editing Dataset in the Legal Domain: Do we Underestimate Neural Machine Translation Quality? LREC (2020)
Ozan Caglayan, Julia Ive, Veneta Haralampieva, Pranava Madhyastha, Loïc Barrault, Lucia Specia
Simultaneous Machine Translation with Visual Context. EMNLP (1) (2020)
Ozan Caglayan, Julia Ive, Veneta Haralampieva, Pranava Madhyastha, Loïc Barrault, Lucia Specia
Simultaneous Machine Translation with Visual Context. CoRR (2020)
Ali Amin-Nejad, Julia Ive, Sumithra Velupillai
Exploring Transformer Text Generation for Medical Dataset Augmentation. LREC (2020)
Julia Ive, Natalia Viani, Joyce Kam, Lucia Yin, Somain Verma, Stephen Puntis, Rudolf N. Cardinal, Angus Roberts, Robert Stewart, Sumithra Velupillai
Generation and evaluation of artificial mental health records for Natural Language Processing. npj Digit. Medicine 3 (2020)
Zixu Wang, Julia Ive, Sinead Moylett, Christoph Mueller, Rudolf N. Cardinal, Sumithra Velupillai, John O'Brien, Robert Stewart
Distinguishing between Dementia with Lewy bodies (DLB) and Alzheimer's Disease (AD) using Mental Health Records: a Classification Approach. ClinicalNLP@EMNLP (2020)
Zixiu Wu, Julia Ive, Josiah Wang, Pranava Madhyastha, Lucia Specia
Predicting Actions to Help Predict Translations. CoRR (2019)
Zixiu Wu, Ozan Caglayan, Julia Ive, Josiah Wang, Lucia Specia
Transformer-based Cascaded Multimodal Speech Translation. CoRR (2019)
Julia Ive, Pranava Madhyastha, Lucia Specia
Distilling Translations with Visual Awareness. ACL (1) (2019)
Zixu Wang, Julia Ive, Sumithra Velupillai, Lucia Specia
Is artificial data useful for biomedical Natural Language Processing. CoRR (2019)
Julia Ive, Pranava Madhyastha, Lucia Specia
Deep Copycat Networks for Text-to-Text Generation. EMNLP/IJCNLP (1) (2019)
Zixu Wang, Julia Ive, Sumithra Velupillai, Lucia Specia
Is artificial data useful for biomedical Natural Language Processing algorithms? BioNLP@ACL (2019)
Zixiu Wu, Ozan Caglayan, Julia Ive, Josiah Wang, Lucia Specia
Transformer-based Cascaded Multimodal Speech Translation. IWSLT (2019)
Julia Ive, Pranava Madhyastha, Lucia Specia
Distilling Translations with Visual Awareness. CoRR (2019)
Joachim Van den Bogaert, Heidi Depraetere, Sara Szoc, Tom Vanallemeersch, Koen Van Winckel, Frederic Everaert, Lucia Specia, Julia Ive, Maxim Khalilov, Christine Maroti, Eduardo Farah, Artur Ventura
APE-QUEST. MTSummit (2) (2019)
Julia Ive, Frédéric Blain, Lucia Specia
deepQuest: A Framework for Neural-based Quality Estimation. COLING (2018)
Julia Ive, Carolina Scarton, Frédéric Blain, Lucia Specia
Sheffield Submissions for the WMT18 Quality Estimation Shared Task. WMT (shared task) (2018)
Julia Ive, Natalia Viani, David Chandran, André Bittar, Sumithra Velupillai
KCL-Health-NLP@CLEF eHealth 2018 Task 1: ICD-10 Coding of French and Italian Death Certificates with Character-Level Convolutional Neural Networks. CLEF (Working Notes) (2018)
Julia Ive, Aurélien Max, François Yvon
Reassessing the proper place of man and machine in translation: a pre-translation scenario. Mach. Transl. 32 (4) (2018)
Julia Ive, George Gkotsis, Rina Dutta, Robert Stewart, Sumithra Velupillai
Hierarchical neural model with attention mechanisms for the classification of social media text related to mental health. CLPsych@NAACL-HTL (2018)
Julia Ive, François Yvon
Parallel Sentence Compression. COLING (2016)
Julia Ive, Aurélien Max, François Yvon
LIMSI's Contribution to the WMT'16 Biomedical Translation Task. WMT (2016)
Benjamin Marie, Alexandre Allauzen, Franck Burlot, Quoc-Khanh Do, Julia Ive, Elena Knyazeva, Matthieu Labeau, Thomas Lavergne, Kevin Löser, Nicolas Pécheux, François Yvon
LIMSI$@$WMT'15 : Translation Task. WMT@EMNLP (2015)

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Publication Activity (10 Years)

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Julia Ive