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+ + +Redefining innovation at DFKI-SLT, where cutting-edge research meets real-world impact.
+ + +Discover the talented individuals who bring brilliance and innovation to our projects.
+ +Senior Researcher
+ +Senior Researcher
+ +Senior Researcher
+ +Post-doctoral Researcher
+ +PhD Candidate
+ +PhD Candidate
+ +PhD Candidate
+ +Area of Work
+Area of Work
+Area of Work
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+Explore our cutting-edge research projects in AI and NLP, driving innovation in healthcare.
+ + +MEDINYM aims to build patient trust and promote data-driven healthcare initiatives, setting new standards in the field.
+Innovating healthcare through AI-driven solutions for better patient outcomes.
+Exploring ethical AI applications in diverse fields such as education and finance.
+Developing tools to enhance multilingual communication through AI-powered platforms.
+Using AI for predictive analytics in climate change research and mitigation strategies.
+Using AI for predictive analytics in climate change research and mitigation strategies.
+Using AI for predictive analytics in climate change research and mitigation strategies.
+Developing tools to enhance multilingual communication through AI-powered platforms.
+Developing tools to enhance multilingual communication through AI-powered platforms.
+A brief description of Project C.
+Access meticulously curated datasets to fuel your experiments and discoveries.
+Interact with our state-of-the-art tools and experience real-world applications.
+ +Access open-source tools, libraries, and codebases for advanced research and development.
+Efficient tools to enhance machine learning model performance.
+ Download Tool ++ Discover the latest insights and findings in AI and NLP from our research group. +
+ ++ 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. + (Xu et al., SMM4H 2024) +
+ Read Paper ++ Overview of #SMM4H 2024 – Task 2: Cross-Lingual Few-Shot Relation Extraction for Pharmacovigilance in French, German, and Japanese. + (Raithel et al., SMM4H@ACL 2024) +
+ Read Paper ++ Improving Self-training with Prototypical Learning for Source-Free Domain Adaptation on Clinical Text. + (Shimizu et al., BioNLP@ACL, 2024) +
+ Read Paper ++ Evaluating the Robustness of Adverse Drug Event Classification Models Using Templates. + (MacPhail et al., BioNLP@ACL, 2024) +
+ Read Paper ++ DFKI-NLP at SemEval-2024 Task 2: Towards Robust LLMs Using Data Perturbations and MinMax Training. + (Verma & Raithel, SemEval@NAACL) +
+ Read Paper ++ A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages. + (Raithel* & Yeh* et al., LREC-COLING, 2024) +
+ Read Paper ++ Assessing Authenticity and Anonymity of Synthetic User-generated Content in the Medical Domain. + (Nishiyama* & Raithel* et al., CALDPseudo@EACL, 2024) +
+ Read Paper ++ Investigating the Impact of AI on Shared Decision-Making in Post-Kidney Transplant Care (PRIMA-AI): + Protocol for a Randomized Controlled Trial. (Osmanodja et al., JMIR Research Protocols) +
+ Read Paper ++ XAI for Better Exploitation of Text in Medical Decision Support. + (Ravichandran et al., BioNLP) +
+ Read Paper ++ Prospectively Investigating the Impact of AI on Shared Decision Making in Post-Kidney Transplant Care (PRIMA-AI): + Protocol for a Longitudinal Qualitative Study. (Sassi et al., BMJ Open) +
+ Read Paper ++ The Influence of Artificial Intelligence on Shared Decision Making in Nephrology. + (Samhammer et al., The Digitalization of Healthcare for Older Adults) +
+ Read Paper ++ Retrieval-Augmented Knowledge Integration into Language Models: A Survey. + (Chen et al., KnowledgeLM) +
+ Read Paper ++ Towards ML-Supported Triage Prediction in Real-World Emergency Room Scenarios. + (Maschhur et al., BioNLP) +
+ Read Paper ++ Dynamic Prompting: Large Language Models for Task-Oriented Dialog. + (Nehring et al., CLiC-it) +
+ Read Paper ++ Findings of the WMT 2024 Biomedical Translation Shared Task: Test Sets on Abstract Level. + (Neves et al., WMT24) +
+ Read Paper ++ Large Language Models for Clinical Text Cleansing: Enhance Medical Concept Normalization. + (Abdulnazar et al., IEEE Access) +
+ Read Paper ++ Vital Sign Forecasting in Perioperative Patients in General Wards. + (Mosch et al., The Digitalization of Healthcare for Older Adults) +
+ Read Paper ++ Unsupervised SapBERT-based Bi-Encoders for Medical Concept Annotation: Clinical Narratives with SNOMED CT. + (Abdulnazar et al., Sage Digital Health) +
+ Read Paper ++ Technology in Healthcare: Introduction, Clinical Impacts, Workflow Improvement, Structuring and Assessment. + (Pickering et al., Now Publishers, Inc.) +
+ Read Paper +Transforming knowledge into inspiration through cutting-edge courses and engaging sessions in NLP and AI.
+ Winter Semester
+ Place: TU Berlin (Quality & Usability Lab)
Topic | +Student | +Supervisor | +Type | +
---|---|---|---|
A Systematic Literature Review of De-identification and Anonymization of Clinical Texts | +Karina Baikova | +Ibrahim Baroud & Lisa Raithel | +Bachelor's | +
Multimodal Explanations for Clinical Decision Support Systems | +Fares Guermazi | +Ajay Ravichandran & Lisa Raithel | +Master's | +
tbd | +Emilia Schulenburg | +Lisa Raithel & Prof. Markus Feufel | +Master's | +
tbd | +Farez Maschhur | +Roland Roller | +Master's | +
tbd | +Iyadh Ben Cheikh Larbi | +Roland Roller | +Master's | +
tbd | +Ammer Ayach | +Roland Roller | +Master's | +
topic | +Maxim Wölk | +Ibrahim Baroud & Roland Roller | +Bachelor's | +
Topic | +Student | +Supervisor | +Type | +
---|---|---|---|
Data Generation in Benchmarking Models for Detecting Adverse Drug Effects | +Dorothea MacPhail | +David Harbecke & Lisa Raithel & Prof. Manfred Stede | +Master's | +
Analysing Robustness of Large Language Models and Data Variability | +Bhuvanesh Verma | +Lisa Raithel & Prof. Manfred Stede | +Master's | +
Automatic Summarization for Long Biomedical Documents | +Chung-Fan Tsai | +Lisa Raithel & Prof. Manfred Stede | +Individual Module | +
Enhancing the Information Extraction from Clinical Trials with Large Language Models | +Jasper Julius Spierling | +Roland Roller & Yuxuan Chen | +Master's | +
Improving Runtime Efficiency in Transformer-based Language Models for Relation Extraction in the Biomedical Domain | +Clara Wicharz | +Philippe Thomas | +Master's | +
Grounding of free-text gene mutation descriptions | +Hugo Alejandro Robalino Urvina | +Philippe Thomas | +Master's | +
Leveraging Large Language Models for Cyber Grooming Chats Generation | +Yulia Constien | +Philippe Thomas | +Master's | +
Evaluating the Detection of Adverse Drug Effects | +Dorothea MacPhail | +David Harbecke & Lisa Raithel & Prof. Manfred Stede | +Individual Module | +
Medical Concept Normalization in a Low-Resource Setting | +Tim Patzelt | +Lisa Raithel & Prof. Manfred Stede | +Master's | +
Transformer-based Relation Extraction of Variant-Phenotype Associations | +Yusra Seyam | +Lisa Raithel & Philippe Thomas | +Master's | +
Unlock your academic potential! Explore our curated list of open thesis opportunities. Collaborate with leading experts and take the next step in your academic journey.
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