Lisa Raithel
12 papers · 2019–2026 · 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
Jump to papers ↓+3 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (28) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 👥 Mega-Team · Squad
🗃️
Keyword Collector
(57)
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(9)
Natural Language Processing
(8)
Artificial Intelligence
(6)
Applications
(6)
Application Areas
(5)
Resources & Methods
(5)
Healthcare & Medicine
(4)
Clinical
(4)
Security & Privacy
(3)
Core AI
(3)
Core Methods
(3)
Learning Paradigms
(3)
Learning Types
(3)
Privacy
(3)
Deep Learning
(2)
Keywords
named entity recognition
(4)
text classification
(3)
adverse drug reaction
(3)
privacy preservation
(2)
synthetic data generation
(2)
medical text
(2)
relation extraction
(2)
natural language processing
(2)
clinical nlp
(2)
large language model
(2)
representation learning
(2)
model robustness
(1)
cross-lingual nlp
(1)
few-shot learning
(1)
language model
(1)
source-free domain adaptation
(1)
data anonymization
(1)
data perturbation
(1)
time series
(1)
health information extraction
(1)
Papers
Infherno: End-to-end Agent-based FHIR Resource Synthesis from Free-form Clinical Notes
EACL 2026
Beyond De-Identification: A Structured Approach for Defining and Detecting Indirect Identifiers in Medical Texts
NAACL 2025
Long-Term Development of Attitudes towards Schizophrenia and Depression in Scientific Abstracts
ACL 2025
RecordTwin: Towards Creating Safe Synthetic Clinical Corpora
ACL 2025
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages
COLING 2024
Assessing Authenticity and Anonymity of Synthetic User-generated Content in the Medical Domain
EACL 2024
DFKI-NLP at SemEval-2024 Task 2: Towards Robust LLMs Using Data Perturbations and MinMax Training
SemEval 2024
Evaluating the Robustness of Adverse Drug Event Classification Models using Templates
ACL 2024
Improving Self-training with Prototypical Learning for Source-Free Domain Adaptation on Clinical Text
ACL 2024
Overview of #SMM4H 2024 – Task 2: Cross-Lingual Few-Shot Relation Extraction for Pharmacovigilance in French, German, and Japanese
ACL 2024
Overview of the 9th Social Media Mining for Health Applications (#SMM4H) Shared Tasks at ACL 2024 – Large Language Models and Generalizability for Social Media NLP
ACL 2024
Neural Vector Conceptualization for Word Vector Space Interpretation
NAACL 2019