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Julia Ive
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2020 – today
- 2024
- [c26]Jiayu Song, Jenny Chim, Adam Tsakalidis, Julia Ive, Dana Atzil-Slonim, Maria Liakata:
Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media. ACL (Findings) 2024: 14651-14672 - [c25]Falwah Alhamed, Julia Ive, Lucia Specia:
Classifying Social Media Users before and after Depression Diagnosis via Their Language Usage: A Dataset and Study. LREC/COLING 2024: 3250-3260 - [c24]Vjosa Preniqi
, Iacopo Ghinassi
MoralBERT: A Fine-Tuned Language Model for Capturing Moral Values in Social Discussions. GoodIT 2024: 433-442 - [c23]Mohammed Ataaur Rahaman, Julia Ive:
Source Code is a Graph, Not a Sequence: A Cross-Lingual Perspective on Code Clone Detection. NAACL (Student Research Workshop) 2024: 168-199 - [c22]Falwah Alhamed, Rebecca Bendayan, Julia Ive, Lucia Specia:
Monitoring Depression Severity and Symptoms in User-Generated Content: An Annotation Scheme and Guidelines. WASSA 2024: 227-233 - [i18]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 abs/2401.16240 (2024) - [i17]Mariia Ignashina, Julia Ive:
Safe Training with Sensitive In-domain Data: Leveraging Data Fragmentation To Mitigate Linkage Attacks. CoRR abs/2404.19486 (2024) - [i16]Vjosa Preniqi, Iacopo Ghinassi, Julia Ive, Kyriaki Kalimeri, Charalampos Saitis:
Automatic Detection of Moral Values in Music Lyrics. CoRR abs/2407.18787 (2024) - 2023
- [j6]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) - [j5]Atijit Anuchitanukul
Revisiting Contextual Toxicity Detection in Conversations. ACM J. Data Inf. Qual. 15(1): 6:1-6:22 (2023) - [i15]Mohammed Ataaur Rahaman, Julia Ive:
Source Code is a Graph, Not a Sequence: A Cross-Lingual Perspective on Code Clone Detection. CoRR abs/2312.16488 (2023) - 2022
- [j4]Julia Ive:
Natural Language Processing: A Machine Learning Perspective by Yue Zhang and Zhiyang Teng. Comput. Linguistics 48(1): 233-235 (2022) - [j3]Julia Ive:
Leveraging the potential of synthetic text for AI in mental healthcare. Frontiers Digit. Health 4 (2022) - [c21]Atijit Anuchitanukul, Julia Ive:
SURF: Semantic-level Unsupervised Reward Function for Machine Translation. NAACL-HLT 2022: 4508-4522 - [i14]Ashwani Tanwar, Jingqing Zhang, Julia Ive, Vibhor Gupta, Yike Guo:
Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge. CoRR abs/2204.10202 (2022) - [i13]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 abs/2205.12368 (2022) - [i12]Hongshu Liu, Nabeel Seedat, Julia Ive:
Modeling Disagreement in Automatic Data Labelling for Semi-Supervised Learning in Clinical Natural Language Processing. CoRR abs/2205.14761 (2022) - [i11]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 abs/2212.02924 (2022) - 2021
- [c20]Mark Turner, Julia Ive
Linguistic Uncertainty in Clinical NLP: A Taxonomy, Dataset and Approach. CLEF 2021: 129-141 - [c19]Julia Ive, Zixu Wang, Marina Fomicheva, Lucia Specia:
Exploring Supervised and Unsupervised Rewards in Machine Translation. EACL 2021: 1908-1920 - [c18]Julia Ive, Andy Mingren Li, Yishu Miao, Ozan Caglayan, Pranava Madhyastha, Lucia Specia:
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation. EACL 2021: 3222-3233 - [c17]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: 8754-8769 - [i10]Julia Ive, Andy Mingren Li, Yishu Miao, Ozan Caglayan, Pranava Madhyastha, Lucia Specia:
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation. CoRR abs/2102.11387 (2021) - [i9]Julia Ive, Zixu Wang, Marina Fomicheva, Lucia Specia:
Exploring Supervised and Unsupervised Rewards in Machine Translation. CoRR abs/2102.11403 (2021) - [i8]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 abs/2107.11665 (2021) - [i7]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 abs/2109.01935 (2021) - [i6]Julia Ive, Atijit Anuchitanukul, Lucia Specia:
Revisiting Contextual Toxicity Detection in Conversations. CoRR abs/2111.12447 (2021) - 2020
- [j2]Julia Ive
Generation and evaluation of artificial mental health records for Natural Language Processing. npj Digit. Medicine 3 (2020) - [c16]Zixu Wang, Julia Ive, Sinead Moylett, Christoph Mueller, Rudolf N. Cardinal
Distinguishing between Dementia with Lewy bodies (DLB) and Alzheimer's Disease (AD) using Mental Health Records: a Classification Approach. ClinicalNLP@EMNLP 2020: 168-177 - [c15]Ozan Caglayan, Julia Ive, Veneta Haralampieva, Pranava Madhyastha, Loïc Barrault, Lucia Specia:
Simultaneous Machine Translation with Visual Context. EMNLP (1) 2020: 2350-2361 - [c14]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: 3692-3697 - [c13]Ali Amin-Nejad, Julia Ive, Sumithra Velupillai:
Exploring Transformer Text Generation for Medical Dataset Augmentation. LREC 2020: 4699-4708 - [i5]Ozan Caglayan, Julia Ive, Veneta Haralampieva, Pranava Madhyastha, Loïc Barrault, Lucia Specia:
Simultaneous Machine Translation with Visual Context. CoRR abs/2009.07310 (2020)
2010 – 2019
- 2019
- [c12]Julia Ive, Pranava Madhyastha
Distilling Translations with Visual Awareness. ACL (1) 2019: 6525-6538 - [c11]Zixu Wang, Julia Ive, Sumithra Velupillai, Lucia Specia
Is artificial data useful for biomedical Natural Language Processing algorithms? BioNLP@ACL 2019: 240-249 - [c10]Julia Ive, Pranava Madhyastha
Deep Copycat Networks for Text-to-Text Generation. EMNLP/IJCNLP (1) 2019: 3225-3234 - [c9]Zixiu Wu, Ozan Caglayan, Julia Ive, Josiah Wang, Lucia Specia:
Transformer-based Cascaded Multimodal Speech Translation. IWSLT 2019 - [c8]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: 110-111 - [i4]Julia Ive, Pranava Madhyastha, Lucia Specia:
Distilling Translations with Visual Awareness. CoRR abs/1906.07701 (2019) - [i3]Zixu Wang, Julia Ive, Sumithra Velupillai, Lucia Specia:
Is artificial data useful for biomedical Natural Language Processing. CoRR abs/1907.01055 (2019) - [i2]Zixiu Wu, Julia Ive, Josiah Wang, Pranava Madhyastha, Lucia Specia:
Predicting Actions to Help Predict Translations. CoRR abs/1908.01665 (2019) - [i1]Zixiu Wu, Ozan Caglayan, Julia Ive, Josiah Wang, Lucia Specia:
Transformer-based Cascaded Multimodal Speech Translation. CoRR abs/1910.13215 (2019) - 2018
- [j1]Julia Ive
Reassessing the proper place of man and machine in translation: a pre-translation scenario. Mach. Transl. 32(4): 279-308 (2018) - [c7]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: 69-77 - [c6]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 - [c5]Julia Ive, Frédéric Blain, Lucia Specia:
deepQuest: A Framework for Neural-based Quality Estimation. COLING 2018: 3146-3157 - [c4]Julia Ive, Carolina Scarton, Frédéric Blain
Sheffield Submissions for the WMT18 Quality Estimation Shared Task. WMT (shared task) 2018: 794-800 - 2017
- [b1]Julia Ive:
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). University of Paris-Saclay, France, 2017 - 2016
- [c3]Julia Ive, François Yvon:
Parallel Sentence Compression. COLING 2016: 1503-1513 - [c2]Julia Ive, Aurélien Max, François Yvon:
LIMSI's Contribution to the WMT'16 Biomedical Translation Task. WMT 2016: 469-476 - 2015
- [c1]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: 145-151
Coauthor Index
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last updated on 2024-10-08 21:31 CEST by the dblp team
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