Cover Image

Clinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Prompting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Richter-Pechanski, Phillip, Wiesenbach, Philipp, Schwab, Dominic M., Kiriakou, Christina, Geis, Nicolas, Dieterich, Christoph, Frank, Anette
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning 68T50 I.2.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models
by: Tang, Lei, et al.
Published: (2025)

Regularized Contrastive Pre-training for Few-shot Bioacoustic Sound Detection
by: Moummad, Ilyass, et al.
Published: (2023)

Pre-trained Language Models Improve the Few-shot Prompt Ability of Decision Transformer
by: Yang, Yu, et al.
Published: (2024)

Effectiveness of Pre-training for Few-shot Intent Classification
by: Zhang, Haode, et al.
Published: (2021)

PubMed-Ophtha: An open resource for training ophthalmology vision-language models on scientific literature
by: Hallitschke, Verena Jasmin, et al.
Published: (2026)

Pre-trained protein language model for codon optimization
by: Pathak, Shashank, et al.
Published: (2024)

Pre-service language teacher training for distance education
by: Emeli Borges Pereira Luz
Published: (2018)

Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization
by: Zhang, Haode, et al.
Published: (2022)

Frequency Enhanced Pre-training for Cross-city Few-shot Traffic Forecasting
by: Liu, Zhanyu, et al.
Published: (2024)

Pre-trained Language Models and Few-shot Learning for Medical Entity Extraction
by: Wang, Xiaokai, et al.
Published: (2025)

Benchmarking Few-shot Transferability of Pre-trained Models with Improved Evaluation Protocols
by: Luo, Xu, et al.
Published: (2026)

MLRIP: Pre-training a military language representation model with informative factual knowledge and professional knowledge base
by: Li, Hui, et al.
Published: (2022)

Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization
by: Hu, Shengchao, et al.
Published: (2024)

Towards a complexity-informed pedagogy for language learning
by: Sarah Mercer
Published: (2013)

The representation landscape of few-shot learning and fine-tuning in large language models
by: Doimo, Diego, et al.
Published: (2024)

Efficient extraction of medication information from clinical notes: an evaluation in two languages
by: Fabacher, Thibaut, et al.
Published: (2025)

Leveraging large language models for structured information extraction from pathology reports
by: Balasubramanian, Jeya Balaji, et al.
Published: (2025)

Critical language awareness in foreign language learning
by: Miguel Farias
Published: (2005)

Survey on reinforcement learning for language processing
by: Uc-Cetina, Victor, et al.
Published: (2021)

InkubaLM: A small language model for low-resource African languages
by: Tonja, Atnafu Lambebo, et al.
Published: (2024)

Effective vocabulary expanding of multilingual language models for extremely low-resource languages
by: Zheng, Jianyu
Published: (2026)

MI-VisionShot: Few-shot adaptation of vision-language models for slide-level classification of histopathological images
by: Meseguer, Pablo, et al.
Published: (2024)

Las guerras del capital de Sarajevo a Irak / Heinz Dieterich
by: Dieterich, Heinz

Nueva guía para la investigación científica / Heinz Dieterich
by: Dieterich, Heinz

Geopolítica : dos momentos de un mismo proceso / Heinz Dieterich
by: Dieterich, Heinz

La disyuntiva de Cuba: capitalismo o nuevo socialismo
by: Heinz Dieterich
Published: (2006)

Prompting language influences diagnostic reasoning and accuracy of large language models
by: Bazoge, Adrien, et al.
Published: (2026)

Large language models have learned to use language
by: Lupyan, Gary
Published: (2025)

NukeBERT: A Pre-trained language model for Low Resource Nuclear Domain
by: Jain, Ayush, et al.
Published: (2020)

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection
by: Zhuang, Weijun, et al.
Published: (2025)

BUS:Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization
by: Jiang, Chaoya, et al.
Published: (2023)

ControlVLA: Few-shot Object-centric Adaptation for Pre-trained Vision-Language-Action Models
by: Li, Puhao, et al.
Published: (2025)

Ada-adapter:Fast Few-shot Style Personlization of Diffusion Model with Pre-trained Image Encoder
by: Liu, Jia, et al.
Published: (2024)

Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training
by: Zhang, Haode, et al.
Published: (2023)

Applying large language models to extract information from crop trait prioritization studies
by: Erin E. Farmer, et al.
Published: (2025)

Leonora Carrington in the 1970s: An Interview with Gloria Feman Orenstein
by: Terri Geis
Published: (2012)

BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction
by: Li, Jiangmeng, et al.
Published: (2024)

Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting
by: Naguib, Marco, et al.
Published: (2024)

Hierarchically Robust Zero-shot Vision-language Models
by: Dong, Junhao, et al.
Published: (2026)

Investigating grammatical abstraction in language models using few-shot learning of novel noun gender
by: Sukumaran, Priyanka, et al.
Published: (2024)