From 44825445a21c6f67f7758623a8de42d82a14b3dc Mon Sep 17 00:00:00 2001 From: syedajannatulferdous121 <135134860+syedajannatulferdous121@users.noreply.github.com> Date: Fri, 20 Dec 2024 11:51:12 +0100 Subject: [PATCH] Delete content/project/resources.html --- content/project/resources.html | 317 --------------------------------- 1 file changed, 317 deletions(-) delete mode 100644 content/project/resources.html diff --git a/content/project/resources.html b/content/project/resources.html deleted file mode 100644 index 93f9a34..0000000 --- a/content/project/resources.html +++ /dev/null @@ -1,317 +0,0 @@ - - - - - - Resources | DFKI-SLT - - - - - - - -
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Discover Our Resources

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Explore curated datasets, research papers, coding tools, and live demos.

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- Datasets for Research -

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Access meticulously curated datasets to fuel your experiments and discoveries.

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- Hands-On Live Demos -

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Interact with our state-of-the-art tools and experience real-world applications.

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Speech-to-Text

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See our advanced models converting speech into text with high accuracy.

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Multilingual Translation

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Experience our live neural machine translation for multiple languages.

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- Developer Resources -

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Access open-source tools, libraries, and codebases for advanced research and development.

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Tool A

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Streamline NLP tasks with our robust Python library.

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Optimization Toolkit

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Efficient tools to enhance machine learning model performance.

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- Research Papers -

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- Discover the latest insights and findings in AI and NLP from our research group. -

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2024
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Paper A

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- 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) -

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Paper B

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- 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) -

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Paper C

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- Improving Self-training with Prototypical Learning for Source-Free Domain Adaptation on Clinical Text. - (Shimizu et al., BioNLP@ACL, 2024) -

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Paper D

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- Evaluating the Robustness of Adverse Drug Event Classification Models Using Templates. - (MacPhail et al., BioNLP@ACL, 2024) -

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Paper E

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- DFKI-NLP at SemEval-2024 Task 2: Towards Robust LLMs Using Data Perturbations and MinMax Training. - (Verma & Raithel, SemEval@NAACL) -

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Paper F

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- A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages. - (Raithel* & Yeh* et al., LREC-COLING, 2024) -

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Paper G

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- Assessing Authenticity and Anonymity of Synthetic User-generated Content in the Medical Domain. - (Nishiyama* & Raithel* et al., CALDPseudo@EACL, 2024) -

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Paper H

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- 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) -

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Paper I

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- XAI for Better Exploitation of Text in Medical Decision Support. - (Ravichandran et al., BioNLP) -

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Paper J

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- 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) -

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Paper K

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- The Influence of Artificial Intelligence on Shared Decision Making in Nephrology. - (Samhammer et al., The Digitalization of Healthcare for Older Adults) -

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Paper L

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- Retrieval-Augmented Knowledge Integration into Language Models: A Survey. - (Chen et al., KnowledgeLM) -

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Paper M

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- Towards ML-Supported Triage Prediction in Real-World Emergency Room Scenarios. - (Maschhur et al., BioNLP) -

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Paper N

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- Dynamic Prompting: Large Language Models for Task-Oriented Dialog. - (Nehring et al., CLiC-it) -

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Paper O

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- Findings of the WMT 2024 Biomedical Translation Shared Task: Test Sets on Abstract Level. - (Neves et al., WMT24) -

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Paper P

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- Large Language Models for Clinical Text Cleansing: Enhance Medical Concept Normalization. - (Abdulnazar et al., IEEE Access) -

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Paper Q

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- Vital Sign Forecasting in Perioperative Patients in General Wards. - (Mosch et al., The Digitalization of Healthcare for Older Adults) -

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Paper R

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- Unsupervised SapBERT-based Bi-Encoders for Medical Concept Annotation: Clinical Narratives with SNOMED CT. - (Abdulnazar et al., Sage Digital Health) -

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Paper S

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- Technology in Healthcare: Introduction, Clinical Impacts, Workflow Improvement, Structuring and Assessment. - (Pickering et al., Now Publishers, Inc.) -

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2023
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Paper A

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- 2023: projects name -

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