Julia Ive

According to our database, Julia Ive authored at least 37 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Clinically meaningful timeline summarisation in social media for mental health monitoring.

Jiayu Song, Jenny Chim, Adam Tsakalidis, Julia Ive, Dana Atzil-Slonim, Maria Liakata

CoRR, 2024

2023

Embracing the uncertainty in human-machine collaboration to support clinical decision-making for mental health conditions.

Ram Popat, Julia Ive

Frontiers Digit. Health, May, 2023

Revisiting Contextual Toxicity Detection in Conversations.

Atijit Anuchitanukul, Julia Ive, Lucia Specia

ACM J. Data Inf. Qual., March, 2023

Source Code is a Graph, Not a Sequence: A Cross-Lingual Perspective on Code Clone Detection.

Mohammed Ataaur Rahaman, Julia Ive

CoRR, 2023

2022

Leveraging the potential of synthetic text for AI in mental healthcare.

Julia Ive

Frontiers Digit. Health, 2022

Controlled Text Generation using T5 based Encoder-Decoder Soft Prompt Tuning and Analysis of the Utility of Generated Text in AI.

Damith Chamalke Senadeera, Julia Ive

CoRR, 2022

Modeling Disagreement in Automatic Data Labelling for Semi-Supervised Learning in Clinical Natural Language Processing.

Hongshu Liu, Nabeel Seedat, Julia Ive

CoRR, 2022

Medical Scientific Table-to-Text Generation with Human-in-the-Loop under the Data Sparsity Constraint.

Heng-Yi Wu, Jingqing Zhang, Julia Ive, Tong Li, Narges Tabari, Bingyuan Chen, Vibhor Gupta, Yike Guo

CoRR, 2022

Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge.

Ashwani Tanwar, Jingqing Zhang, Julia Ive, Vibhor Gupta, Yike Guo

CoRR, 2022

Natural Language Processing: A Machine Learning Perspective by Yue Zhang and Zhiyang Teng.

Julia Ive

Comput. Linguistics, 2022

SURF: Semantic-level Unsupervised Reward Function for Machine Translation.

Atijit Anuchitanukul, Julia Ive

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Cases.

Jingqing Zhang, Luis Bolanos, Ashwani Tanwar, Albert Sokol, Julia Ive, Vibhor Gupta, Yike Guo

CoRR, 2021

Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case.

Jingqing Zhang, Luis Bolanos, Tong Li, Ashwani Tanwar, Guilherme Freire, Xian Yang, Julia Ive, Vibhor Gupta, Yike Guo

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Exploring Supervised and Unsupervised Rewards in Machine Translation.

Julia Ive, Zixu Wang, Marina Fomicheva, Lucia Specia

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation.

Julia Ive, Andy Mingren Li, Yishu Miao, Ozan Caglayan, Pranava Madhyastha, Lucia Specia

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Linguistic Uncertainty in Clinical NLP: A Taxonomy, Dataset and Approach.

Mark Turner, Julia Ive, Sumithra Velupillai

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2021

2020

Generation and evaluation of artificial mental health records for Natural Language Processing.

Julia Ive, Natalia Viani, Joyce Kam, Lucia Yin, Somain Verma, Stephen Puntis, Rudolf N. Cardinal, Angus Roberts, Robert Stewart, Sumithra Velupillai

npj Digit. Medicine, 2020

A Post-Editing Dataset in the Legal Domain: Do we Underestimate Neural Machine Translation Quality?

Julia Ive, Lucia Specia, Sara Szoc, Tom Vanallemeersch, Joachim Van den Bogaert, Eduardo Farah, Christine Maroti, Artur Ventura, Maxim Khalilov

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Exploring Transformer Text Generation for Medical Dataset Augmentation.

Ali Amin-Nejad, Julia Ive, Sumithra Velupillai

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Simultaneous Machine Translation with Visual Context.

Ozan Caglayan, Julia Ive, Veneta Haralampieva, Pranava Madhyastha, Loïc Barrault, Lucia Specia

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Distinguishing between Dementia with Lewy bodies (DLB) and Alzheimer's Disease (AD) using Mental Health Records: a Classification Approach.

Zixu Wang, Julia Ive, Sinead Moylett, Christoph Mueller, Rudolf N. Cardinal, Sumithra Velupillai, John O'Brien, Robert Stewart

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

2019

Predicting Actions to Help Predict Translations.

Zixiu Wu, Julia Ive, Josiah Wang, Pranava Madhyastha, Lucia Specia

CoRR, 2019

Is artificial data useful for biomedical Natural Language Processing.

Zixu Wang, Julia Ive, Sumithra Velupillai, Lucia Specia

CoRR, 2019

APE-QUEST.

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

Proceedings of Machine Translation Summit XVII Volume 2: Translator, 2019

Transformer-based Cascaded Multimodal Speech Translation.

Zixiu Wu, Ozan Caglayan, Julia Ive, Josiah Wang, Lucia Specia

Proceedings of the 16th International Conference on Spoken Language Translation, 2019

Deep Copycat Networks for Text-to-Text Generation.

Julia Ive, Pranava Madhyastha, Lucia Specia

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Is artificial data useful for biomedical Natural Language Processing algorithms?

Zixu Wang, Julia Ive, Sumithra Velupillai, Lucia Specia

Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

Distilling Translations with Visual Awareness.

Julia Ive, Pranava Madhyastha, Lucia Specia

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Reassessing the proper place of man and machine in translation: a pre-translation scenario.

Julia Ive, Aurélien Max, François Yvon

Mach. Transl., 2018

Sheffield Submissions for the WMT18 Quality Estimation Shared Task.

Julia Ive, Carolina Scarton, Frédéric Blain, Lucia Specia

Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018

deepQuest: A Framework for Neural-based Quality Estimation.

Julia Ive, Frédéric Blain, Lucia Specia

Proceedings of the 27th International Conference on Computational Linguistics, 2018

KCL-Health-NLP@CLEF eHealth 2018 Task 1: ICD-10 Coding of French and Italian Death Certificates with Character-Level Convolutional Neural Networks.

Julia Ive, Natalia Viani, David Chandran, André Bittar, Sumithra Velupillai

Proceedings of the Working Notes of CLEF 2018, 2018

Hierarchical neural model with attention mechanisms for the classification of social media text related to mental health.

Julia Ive, George Gkotsis, Rina Dutta, Robert Stewart, Sumithra Velupillai

Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, 2018

2017

Towards a Better Human-Machine Collaboration in Statistical Translation : Example of Systematic Medical Reviews. (Vers une meilleure collaboration humain-machine en traduction statistique : l'exemple des revues systématiques en médecine).

Julia Ive

PhD thesis, 2017

2016

LIMSI's Contribution to the WMT'16 Biomedical Translation Task.

Julia Ive, Aurélien Max, François Yvon

Proceedings of the First Conference on Machine Translation, 2016

Parallel Sentence Compression.

Julia Ive, François Yvon

Proceedings of the COLING 2016, 2016

2015

LIMSI$@$WMT'15 : Translation Task.

Benjamin Marie, Alexandre Allauzen, Franck Burlot, Quoc-Khanh Do, Julia Ive, Elena Knyazeva, Matthieu Labeau, Thomas Lavergne, Kevin Löser, Nicolas Pécheux, François Yvon

Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015