Julia Ive
22 papers · 2016–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π Conference Polyglot (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (11)
π
Renaissance Researcher
(9)
π
Conference Polyglot
(6)
π
Academic Marathon
(8)
π€
Dynamic Duo
(14)
π§¬
Topic Evolution
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(96)
β‘
Prolific Year
(6)
β
The Questioner
π₯
Unstoppable
(5)
π
Century Club
(22)
Conferences
ACL (5)
EMNLP (5)
NAACL (5)
COLING (3)
EACL (3)
IJCNLP (1)
Top co-authors
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 Alzheimerβs 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