Julia Ive
Orcid: 0000-0002-3931-3392
According to our database1,
Julia Ive
authored at least 43 papers
between 2015 and 2024.
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Bibliography
2024
Safe Training with Sensitive In-domain Data: Leveraging Data Fragmentation To Mitigate Linkage Attacks.
CoRR, 2024
Clinically meaningful timeline summarisation in social media for mental health monitoring.
CoRR, 2024
Monitoring Depression Severity and Symptoms in User-Generated Content: An Annotation Scheme and Guidelines.
Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, 2024
Source Code is a Graph, Not a Sequence: A Cross-Lingual Perspective on Code Clone Detection.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2024
MoralBERT: A Fine-Tuned Language Model for Capturing Moral Values in Social Discussions.
Proceedings of the 2024 International Conference on Information Technology for Social Good, 2024
Classifying Social Media Users before and after Depression Diagnosis via Their Language Usage: A Dataset and Study.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Embracing the uncertainty in human-machine collaboration to support clinical decision-making for mental health conditions.
Frontiers Digit. Health, May, 2023
ACM J. Data Inf. Qual., March, 2023
2022
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.
CoRR, 2022
Modeling Disagreement in Automatic Data Labelling for Semi-Supervised Learning in Clinical Natural Language Processing.
CoRR, 2022
Medical Scientific Table-to-Text Generation with Human-in-the-Loop under the Data Sparsity Constraint.
CoRR, 2022
Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge.
CoRR, 2022
Natural Language Processing: A Machine Learning Perspective by Yue Zhang and Zhiyang Teng.
Comput. Linguistics, 2022
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.
CoRR, 2021
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2021
2020
Generation and evaluation of artificial mental health records for Natural Language Processing.
npj Digit. Medicine, 2020
A Post-Editing Dataset in the Legal Domain: Do we Underestimate Neural Machine Translation Quality?
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
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.
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020
2019
Proceedings of the 16th International Conference on Spoken Language Translation, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 18th BioNLP Workshop and Shared Task, 2019
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.
Mach. Transl., 2018
Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018
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.
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.
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).
PhD thesis, 2017
2016
Proceedings of the First Conference on Machine Translation, 2016
2015
Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015