← Authors

Julia Ive

22 papers · 2016–2024 · 6 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (11) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (44) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (9) 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (8) 🀝 Dynamic Duo (14) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (96) ⚑ Prolific Year (6) ❓ The Questioner πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (22)

Conferences

ACL (5) EMNLP (5) NAACL (5) COLING (3) EACL (3) IJCNLP (1)

Top co-authors

Lucia Specia (14) Pranava Madhyastha (5) Falwah Alhamed (5) Sumithra Velupillai (3) Zixu Wang (3) Ozan Caglayan (2) FrΓ©dΓ©ric Blain (2) Robert Stewart (2) Liang Huang (1) Wolfgang Macherey (1)

Keywords

text classification (6) machine translation (4) mental health (4) reinforcement learning (3) large language model (3) social media (3) abstractive summarization (3) suicide risk (2) text-to-text generation (2) transformer model (2) word-level prediction (2) pointer network (2) social media analysis (2) data augmentation (2) automatic post-editing (2) visual context (2) quality estimation (2) simultaneous machine translation (2) sentence-level prediction (2) neural network (2)

Papers

Experimenting with Transformer-based and Large Language Models for Classifying Effects of Outdoor Spaces on Social Anxiety in Social Media Data ACL 2024
Classifying Social Media Users before and after Depression Diagnosis via Their Language Usage: A Dataset and Study COLING 2024
Using Large Language Models (LLMs) to Extract Evidence from Pre-Annotated Social Media Data EACL 2024
Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media ACL 2024
Monitoring Depression Severity and Symptoms in User-Generated Content: An Annotation Scheme and Guidelines ACL 2024
Source Code is a Graph, Not a Sequence: A Cross-Lingual Perspective on Code Clone Detection NAACL 2024
Findings of the Third Workshop on Automatic Simultaneous Translation NAACL 2022
SURF: Semantic-level Unsupervised Reward Function for Machine Translation NAACL 2022
Predicting Moments of Mood Changes Overtime from Imbalanced Social Media Data NAACL 2022
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation EACL 2021
Exploring Supervised and Unsupervised Rewards in Machine Translation EACL 2021
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case EMNLP 2021
Simultaneous Machine Translation with Visual Context EMNLP 2020
Distinguishing between Dementia with Lewy bodies (DLB) and Alzheimer’s Disease (AD) using Mental Health Records: a Classification Approach EMNLP 2020
Distilling Translations with Visual Awareness ACL 2019
Is artificial data useful for biomedical Natural Language Processing algorithms? ACL 2019
Deep Copycat Networks for Text-to-Text Generation EMNLP 2019
Deep Copycat Networks for Text-to-Text Generation IJCNLP 2019
Hierarchical neural model with attention mechanisms for the classification of social media text related to mental health NAACL 2018
Sheffield Submissions for the WMT18 Quality Estimation Shared Task EMNLP 2018
deepQuest: A Framework for Neural-based Quality Estimation COLING 2018
Parallel Sentence Compression COLING 2016