Sudeshna Jana
6 papers · 2024–2026 · 4 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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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(17)
Venues
Top co-authors
Research topics
Machine Learning
(4)
Core Methods
(4)
Deep Learning
(3)
Natural Language Processing
(3)
Artificial Intelligence
(2)
Healthcare & Medicine
(2)
Applications
(2)
Architectures
(2)
Clinical
(2)
Core AI
(2)
Learning Types · Machine Learning
(2)
Interdisciplinary
(1)
Application Areas
(1)
Learning Types · Deep Learning
(1)
Resources & Methods
(1)
Keywords
disease outbreak
(2)
sequence labeling
(2)
food safety
(2)
graph neural network
(2)
named entity recognition
(1)
supervised learning
(1)
clinical outcome prediction
(1)
low-resource language
(1)
language model
(1)
random forest
(1)
sentence embedding
(1)
event extraction
(1)
evidence extraction
(1)
mental health
(1)
cause-effect extraction
(1)
transformer embedding
(1)
discharge summary
(1)
self-state evidence
(1)
well-being prediction
(1)
fine-tuned model
(1)
Papers
A Graph-Augmented Liquid Neural Network for Extracting Food Hazards and Disease Outbreaks
EACL 2026
DisGraph-RP: Graph-Augmented Temporal Modeling with Aspect-Based Contrastive Encoding of Discharge Summary for Readmission Prediction
EACL 2026
Benchmarking Bangla Causality: A Dataset of Implicit and Explicit Causal Sentences and Cause-Effect Relations
IJCNLP 2025
Predicting ICU Length of Stay for Patients using Latent Categorization of Health Conditions
NAACL 2025
Self-State Evidence Extraction and Well-Being Prediction from Social Media Timelines
NAACL 2025
FORCE: A Benchmark Dataset for Foodborne Disease Outbreak and Recall Event Extraction from News
ACL 2024