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 (WMT@EMNLP, 2015)

Parallel Sentence Compression. - Julia Ive; François Yvon (COLING, 2016)

LIMSI's Contribution to the WMT'16 Biomedical Translation Task. - Julia Ive; Aurélien Max; François Yvon (WMT, 2016)

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 (2017)

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 002; Sumithra Velupillai (CLPsych@NAACL-HTL, 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 (CLEF (Working Notes), 2018)

deepQuest: A Framework for Neural-based Quality Estimation. - Julia Ive; Frédéric Blain; Lucia Specia (COLING, 2018)

Sheffield Submissions for the WMT18 Quality Estimation Shared Task. - Julia Ive; Carolina Scarton; Frédéric Blain; Lucia Specia (WMT (shared task), 2018)

Reassessing the proper place of man and machine in translation: a pre-translation scenario. - Julia Ive; Aurélien Max; François Yvon (Mach. Transl., 2018)

Distilling Translations with Visual Awareness. - Julia Ive; Pranava Madhyastha; Lucia Specia (ACL (1), 2019)

Is artificial data useful for biomedical Natural Language Processing algorithms? - Zixu Wang; Julia Ive; Sumithra Velupillai; Lucia Specia (BioNLP@ACL, 2019)

Deep Copycat Networks for Text-to-Text Generation. - Julia Ive; Pranava Madhyastha; Lucia Specia (EMNLP/IJCNLP (1), 2019)

Transformer-based Cascaded Multimodal Speech Translation. - Zixiu Wu; Ozan Caglayan; Julia Ive; Josiah Wang; Lucia Specia (IWSLT, 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 (MTSummit (2), 2019)

Is artificial data useful for biomedical Natural Language Processing. - Zixu Wang; Julia Ive; Sumithra Velupillai; Lucia Specia (CoRR, 2019)

Predicting Actions to Help Predict Translations. - Zixiu Wu; Julia Ive; Josiah Wang; Pranava Madhyastha; Lucia Specia (CoRR, 2019)

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 002 (ClinicalNLP@EMNLP, 2020)

Simultaneous Machine Translation with Visual Context. - Ozan Caglayan; Julia Ive; Veneta Haralampieva; Pranava Madhyastha; Loïc Barrault; Lucia Specia (EMNLP (1), 2020)

Exploring Transformer Text Generation for Medical Dataset Augmentation. - Ali Amin-Nejad; Julia Ive; Sumithra Velupillai (LREC, 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 (LREC, 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 002; Sumithra Velupillai (npj Digit. Medicine, 2020)

Linguistic Uncertainty in Clinical NLP: A Taxonomy, Dataset and Approach. - Mark Turner 011; Julia Ive; Sumithra Velupillai (CLEF, 2021)

Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation. - Julia Ive; Andy Mingren Li; Yishu Miao; Ozan Caglayan; Pranava Madhyastha; Lucia Specia (EACL, 2021)

Exploring Supervised and Unsupervised Rewards in Machine Translation. - Julia Ive; Zixu Wang; Marina Fomicheva; Lucia Specia (EACL, 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 001; Julia Ive; Vibhor Gupta; Yike Guo (EMNLP (1), 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)

SURF: Semantic-level Unsupervised Reward Function for Machine Translation. - Atijit Anuchitanukul; Julia Ive (NAACL-HLT, 2022)

Natural Language Processing: A Machine Learning Perspective by Yue Zhang and Zhiyang Teng. - Julia Ive (Comput. Linguistics, 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)

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)

Modeling Disagreement in Automatic Data Labelling for Semi-Supervised Learning in Clinical Natural Language Processing. - Hongshu Liu; Nabeel Seedat; Julia Ive (CoRR, 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)

Leveraging the potential of synthetic text for AI in mental healthcare. - Julia Ive (Frontiers Digit. Health, 2022)

Revisiting Contextual Toxicity Detection in Conversations. - Atijit Anuchitanukul; Julia Ive; Lucia Specia (ACM J. Data Inf. Qual., 2023)

Embracing the uncertainty in human-machine collaboration to support clinical decision-making for mental health conditions. - Ram Popat; Julia Ive (Frontiers Digit. Health, 2023)

Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media. - Jiayu Song; Jenny Chim; Adam Tsakalidis; Julia Ive; Dana Atzil-Slonim; Maria Liakata (ACL (Findings), 2024)

Enhancing Medical Dialogue Summarization: A MediExtract Distillation Framework. - Xiaoxiao Liu; Mengqing Huang; Nicolay Rusnachenko; Julia Ive; Jian Chang; Jian Jun Zhang (BIBM, 2024)

Classifying Social Media Users before and after Depression Diagnosis via Their Language Usage: A Dataset and Study. - Falwah Alhamed; Julia Ive; Lucia Specia (LREC/COLING, 2024)

MoralBERT: A Fine-Tuned Language Model for Capturing Moral Values in Social Discussions. - Vjosa Preniqi; Iacopo Ghinassi; Julia Ive; Charalampos Saitis; Kyriaki Kalimeri (GoodIT, 2024)

Automatic Detection of Moral Values in Music Lyrics. - Vjosa Preniqi; Iacopo Ghinassi; Julia Ive; Kyriaki Kalimeri; Charalampos Saitis (ISMIR, 2024)

Source Code is a Graph, Not a Sequence: A Cross-Lingual Perspective on Code Clone Detection. - Mohammed Ataaur Rahaman; Julia Ive (NAACL (Student Research Workshop), 2024)

Monitoring Depression Severity and Symptoms in User-Generated Content: An Annotation Scheme and Guidelines. - Falwah Alhamed; Rebecca Bendayan; Julia Ive; Lucia Specia (WASSA, 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)

Safe Training with Sensitive In-domain Data: Leveraging Data Fragmentation To Mitigate Linkage Attacks. - Mariia Ignashina; Julia Ive (CoRR, 2024)

Privacy-Preserving Behaviour of Chatbot Users: Steering Through Trust Dynamics. - Julia Ive; Vishal Yadav; Mariia Ignashina; Matthew Rand; Paulina Bondaronek (CoRR, 2024)

Modeling disagreement in automatic data labeling for semi-supervised learning in Clinical Natural Language Processing. - Hongshu Liu; Nabeel Seedat; Julia Ive (Frontiers Artif. Intell., 2024)

Evaluating Synthetic Data Generation from User Generated Text. - Jenny Chim; Julia Ive; Maria Liakata (Comput. Linguistics, 2025)

A Data-Centric Approach to Detecting and Mitigating Demographic Bias in Pediatric Mental Health Text: A Case Study in Anxiety Detection. - Julia Ive; Paulina Bondaronek; Vishal Yadav; Daniel Santel; Tracy A. Glauser; Tina Cheng; Jeffrey R. Strawn; Greeshma A. Agasthya; Jordan Tschida; Sanghyun Choo; Mayanka Chandrashekar; Anuj J. Kapadia; et al. (CoRR, 2025)

LLM Assistance for Pediatric Depression. - Mariia Ignashina; Paulina Bondaronek; Daniel Santel; John Pestian; Julia Ive (CoRR, 2025)

Developing and Evaluating an AI-Assisted Prediction Model for Unplanned Intensive Care Admissions following Elective Neurosurgery using Natural Language Processing within an Electronic Healthcare Record System. - Julia Ive; Olatomiwa Olukoya; Jonathan P. Funnell; James Booker; Sze H. M. Lam; Ugan Reddy; Kawsar Noor; Richard J. B. Dobson; Valpuri Luoma; Hani J. Marcus (CoRR, 2025)

Clean & Clear: Feasibility of Safe LLM Clinical Guidance. - Julia Ive; Felix Jozsa; Nick Jackson; Paulina Bondaronek; Ciaran Scott Hill; Richard Dobson (CoRR, 2025)

Hesitation is defeat? Connecting Linguistic and Predictive Uncertainty. - Gianluca Manzo; Julia Ive (CoRR, 2025)

Development and Evaluation of HopeBot: an LLM-based chatbot for structured and interactive PHQ-9 depression screening. - Zhijun Guo; Alvina Lai; Julia Ive; Alexandru Petcu; Yutong Wang; Luyuan Qi; Johan H. Thygesen; Kezhi Li (CoRR, 2025)