Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition
Fuente:
arXiv
Saved in:
| Main Authors: | Golde, Jonas, Hamborg, Felix, Akbik, Alan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FiNERweb: Datasets and Artifacts for Scalable Multilingual Named Entity Recognition
by: Golde, Jonas, et al.
Published: (2025)
by: Golde, Jonas, et al.
Published: (2025)
What Matters When Building Universal Multilingual Named Entity Recognition Models?
by: Golde, Jonas, et al.
Published: (2026)
by: Golde, Jonas, et al.
Published: (2026)
Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data
by: Golde, Jonas, et al.
Published: (2024)
by: Golde, Jonas, et al.
Published: (2024)
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
by: Golde, Jonas, et al.
Published: (2023)
by: Golde, Jonas, et al.
Published: (2023)
Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning
by: Schulte, David, et al.
Published: (2024)
by: Schulte, David, et al.
Published: (2024)
What Matters in Linearizing Language Models? A Comparative Study of Architecture, Scale, and Task Adaptation
by: Haller, Patrick, et al.
Published: (2025)
by: Haller, Patrick, et al.
Published: (2025)
NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition
by: Merdjanovska, Elena, et al.
Published: (2024)
by: Merdjanovska, Elena, et al.
Published: (2024)
BabyHGRN: Exploring RNNs for Sample-Efficient Training of Language Models
by: Haller, Patrick, et al.
Published: (2024)
by: Haller, Patrick, et al.
Published: (2024)
Sample-Efficient Language Modeling with Linear Attention and Lightweight Enhancements
by: Haller, Patrick, et al.
Published: (2025)
by: Haller, Patrick, et al.
Published: (2025)
MastermindEval: A Simple But Scalable Reasoning Benchmark
by: Golde, Jonas, et al.
Published: (2025)
by: Golde, Jonas, et al.
Published: (2025)
Question Decomposition for Retrieval-Augmented Generation
by: Ammann, Paul J. L., et al.
Published: (2025)
by: Ammann, Paul J. L., et al.
Published: (2025)
In-Context Learning for Few-Shot Nested Named Entity Recognition
by: Zhang, Meishan, et al.
Published: (2024)
by: Zhang, Meishan, et al.
Published: (2024)
A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named Entity Recognition
by: Zhang, Haojie, et al.
Published: (2024)
by: Zhang, Haojie, et al.
Published: (2024)
Large Language Models for Few-Shot Named Entity Recognition
by: Zhao, Yufei, et al.
Published: (2018)
by: Zhao, Yufei, et al.
Published: (2018)
Prompt Tuning for Few-Shot Continual Learning Named Entity Recognition
by: Ren, Zhe
Published: (2025)
by: Ren, Zhe
Published: (2025)
llmNER: (Zero|Few)-Shot Named Entity Recognition, Exploiting the Power of Large Language Models
by: Villena, Fabián, et al.
Published: (2024)
by: Villena, Fabián, et al.
Published: (2024)
LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition
by: Ye, Junjie, et al.
Published: (2024)
by: Ye, Junjie, et al.
Published: (2024)
Evaluating Design Decisions for Dual Encoder-based Entity Disambiguation
by: Rücker, Susanna, et al.
Published: (2025)
by: Rücker, Susanna, et al.
Published: (2025)
CLLMFS: A Contrastive Learning enhanced Large Language Model Framework for Few-Shot Named Entity Recognition
by: Zhang, Yafeng, et al.
Published: (2024)
by: Zhang, Yafeng, et al.
Published: (2024)
BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition
by: Guo, Quanjiang, et al.
Published: (2024)
by: Guo, Quanjiang, et al.
Published: (2024)
A Few-Shot Learning Focused Survey on Recent Named Entity Recognition and Relation Classification Methods
by: Alqaaidi, Sakher Khalil, et al.
Published: (2023)
by: Alqaaidi, Sakher Khalil, et al.
Published: (2023)
ReProCon: Scalable and Resource-Efficient Few-Shot Biomedical Named Entity Recognition
by: Yoo, Jeongkyun, et al.
Published: (2025)
by: Yoo, Jeongkyun, et al.
Published: (2025)
FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual Framework
by: Bouabdallaoui, Ibrahim, et al.
Published: (2025)
by: Bouabdallaoui, Ibrahim, et al.
Published: (2025)
Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models
by: Xie, Tingyu, et al.
Published: (2023)
by: Xie, Tingyu, et al.
Published: (2023)
Few-shot Name Entity Recognition on StackOverflow
by: Chen, Xinwei, et al.
Published: (2024)
by: Chen, Xinwei, et al.
Published: (2024)
Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace Selection
by: Hammal, Ayoub, et al.
Published: (2024)
by: Hammal, Ayoub, et al.
Published: (2024)
Few-shot Named Entity Recognition via Superposition Concept Discrimination
by: Chen, Jiawei, et al.
Published: (2024)
by: Chen, Jiawei, et al.
Published: (2024)
Zero- and Few-Shot Named-Entity Recognition: Case Study and Dataset in the Crime Domain (CrimeNER)
by: Lopez-Duran, Miguel, et al.
Published: (2026)
by: Lopez-Duran, Miguel, et al.
Published: (2026)
Dynamic Label Name Refinement for Few-Shot Dialogue Intent Classification
by: Park, Gyutae, et al.
Published: (2024)
by: Park, Gyutae, et al.
Published: (2024)
Entity Decomposition with Filtering: A Zero-Shot Clinical Named Entity Recognition Framework
by: Averly, Reza, et al.
Published: (2024)
by: Averly, Reza, et al.
Published: (2024)
Named Entity Recognition in Context
by: Brisson, Colin, et al.
Published: (2025)
by: Brisson, Colin, et al.
Published: (2025)
LLMs are Better Than You Think: Label-Guided In-Context Learning for Named Entity Recognition
by: Bai, Fan, et al.
Published: (2025)
by: Bai, Fan, et al.
Published: (2025)
Label Alignment and Reassignment with Generalist Large Language Model for Enhanced Cross-Domain Named Entity Recognition
by: Bao, Ke, et al.
Published: (2024)
by: Bao, Ke, et al.
Published: (2024)
Nested Named Entity Recognition as Single-Pass Sequence Labeling
by: Muñoz-Ortiz, Alberto, et al.
Published: (2025)
by: Muñoz-Ortiz, Alberto, et al.
Published: (2025)
Federated Incremental Named Entity Recognition
by: Zhang, Duzhen, et al.
Published: (2024)
by: Zhang, Duzhen, et al.
Published: (2024)
A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition
by: Wang, Zihan, et al.
Published: (2025)
by: Wang, Zihan, et al.
Published: (2025)
SAM-NER: Semantic Archetype Mediation for Zero-Shot Named Entity Recognition
by: Cai, Ruichu, et al.
Published: (2026)
by: Cai, Ruichu, et al.
Published: (2026)
P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language Models
by: Jiang, Guochao, et al.
Published: (2024)
by: Jiang, Guochao, et al.
Published: (2024)
Learning Nested Named Entity Recognition from Flat Annotations
by: Rozhkov, Igor, et al.
Published: (2026)
by: Rozhkov, Igor, et al.
Published: (2026)
Effective Multi-Task Learning for Biomedical Named Entity Recognition
by: Ruano, João, et al.
Published: (2025)
by: Ruano, João, et al.
Published: (2025)
Similar Items
-
FiNERweb: Datasets and Artifacts for Scalable Multilingual Named Entity Recognition
by: Golde, Jonas, et al.
Published: (2025) -
What Matters When Building Universal Multilingual Named Entity Recognition Models?
by: Golde, Jonas, et al.
Published: (2026) -
Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data
by: Golde, Jonas, et al.
Published: (2024) -
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
by: Golde, Jonas, et al.
Published: (2023) -
Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning
by: Schulte, David, et al.
Published: (2024)