Julia Ive
21 papers · 2016–2024 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (38) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
🤝
Dynamic Duo
(13)
🧬
Topic Evolution
🏆
Keyword Champion
(2)
🧭
Keyword Pioneer
📈
Trend Setter
❓
The Questioner
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
🌈
Renaissance Researcher
(7)
🗃️
Keyword Collector
(93)
Venues
Top co-authors
Research topics
Natural Language Processing
(15)
Applications
(14)
Machine Learning
(11)
Deep Learning
(7)
Core Methods
(7)
Learning Types
(6)
Healthcare & Medicine
(5)
Clinical
(5)
Artificial Intelligence
(4)
Architectures
(4)
Core AI
(4)
Reinforcement Learning
(3)
Application Areas
(3)
Methods
(3)
Computer Vision
(2)
Keywords
text classification
(6)
machine translation
(4)
mental health
(4)
social media
(3)
large language model
(3)
reinforcement learning
(3)
transformer model
(2)
suicide risk
(2)
social media analysis
(2)
data augmentation
(2)
sentence-level prediction
(2)
abstractive summarization
(2)
visual context
(2)
neural network
(2)
quality estimation
(2)
simultaneous machine translation
(2)
word-level prediction
(2)
sentence compression
(1)
parallel corpus
(1)
attention mechanism
(1)
Papers
Classifying Social Media Users before and after Depression Diagnosis via Their Language Usage: A Dataset and Study
COLING 2024
Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media
ACL 2024
Experimenting with Transformer-based and Large Language Models for Classifying Effects of Outdoor Spaces on Social Anxiety in Social Media Data
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
Using Large Language Models (LLMs) to Extract Evidence from Pre-Annotated Social Media Data
EACL 2024
Findings of the Third Workshop on Automatic Simultaneous Translation
NAACL 2022
Predicting Moments of Mood Changes Overtime from Imbalanced Social Media Data
NAACL 2022
SURF: Semantic-level Unsupervised Reward Function for Machine Translation
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
Distinguishing between Dementia with Lewy bodies (DLB) and Alzheimer’s Disease (AD) using Mental Health Records: a Classification Approach
EMNLP 2020
Simultaneous Machine Translation with Visual Context
EMNLP 2020
Deep Copycat Networks for Text-to-Text Generation
EMNLP 2019
Distilling Translations with Visual Awareness
ACL 2019
Is artificial data useful for biomedical Natural Language Processing algorithms?
ACL 2019
deepQuest: A Framework for Neural-based Quality Estimation
COLING 2018
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
Parallel Sentence Compression
COLING 2016