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Few-shot NER

Few-Shot Named Entity Recognition (NER) is the task of recognising a 'named entity' like a person, organization, time and so on in a piece of text e.g. "Alan Mathison [person] visited the Turing Institute [organization] in June [time].

Papers

Showing 150 of 63 papers

TitleStatusHype
Decomposed Meta-Learning for Few-Shot Named Entity RecognitionCode2
mGPT: Few-Shot Learners Go MultilingualCode2
An Enhanced Span-based Decomposition Method for Few-Shot Sequence LabelingCode1
From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot ContextsCode1
PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor SearchCode1
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NERCode1
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive LearningCode1
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity RecognitionCode1
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity RecognitionCode1
Few-NERD: A Few-Shot Named Entity Recognition DatasetCode1
Few-shot Named Entity Recognition with Self-describing NetworksCode1
HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity RecognitionCode1
How far is Language Model from 100% Few-shot Named Entity Recognition in Medical DomainCode1
InstructionNER: A Multi-Task Instruction-Based Generative Framework for Few-shot NERCode1
Label Semantics for Few Shot Named Entity RecognitionCode1
Language Model Pre-Training with Sparse Latent TypingCode1
Learning In-context Learning for Named Entity RecognitionCode1
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity RecognitionCode1
NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated DataCode1
Prompt-Based Metric Learning for Few-Shot NERCode1
QaNER: Prompting Question Answering Models for Few-shot Named Entity RecognitionCode1
SEE-Few: Seed, Expand and Entail for Few-shot Named Entity RecognitionCode1
Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor LearningCode1
Simple Questions Generate Named Entity Recognition DatasetsCode1
Template-Based Named Entity Recognition Using BARTCode1
Template-free Prompt Tuning for Few-shot NERCode1
Type-Aware Decomposed Framework for Few-Shot Named Entity RecognitionCode1
Fighting Against the Repetitive Training and Sample Dependency Problem in Few-shot Named Entity Recognition0
Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition0
LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition0
llmNER: (Zero|Few)-Shot Named Entity Recognition, Exploiting the Power of Large Language Models0
A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named Entity Recognition0
Causal Interventions-based Few-Shot Named Entity Recognition0
CLLMFS: A Contrastive Learning enhanced Large Language Model Framework for Few-Shot Named Entity Recognition0
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning0
ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER0
A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Name Entity Recognition0
Designing Informative Metrics for Few-Shot Example Selection0
Enhancing Few-shot NER with Prompt Ordering based Data Augmentation0
NSP-NER: A Prompt-based Learner for Few-shot NER Driven by Next Sentence Prediction0
VicunaNER: Zero/Few-shot Named Entity Recognition using Vicuna0
Few-Shot Named Entity Recognition with Biaffine Span Representation0
Few-shot Named Entity Recognition with Joint Token and Sentence Awareness0
Template-free Prompt Tuning for Few-shot NER0
Hybrid Multi-stage Decoding for Few-shot NER with Entity-aware Contrastive Learning0
PromptNER: Prompting For Named Entity Recognition0
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP0
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition0
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related FeaturesCode0
Few-shot Named Entity Recognition via Superposition Concept DiscriminationCode0
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