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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

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Showing 26–50 of 63 papers

TitleStatusHype
Enhancing Few-shot NER with Prompt Ordering based Data Augmentation—0
Learning In-context Learning for Named Entity RecognitionCode1
From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot ContextsCode1
VicunaNER: Zero/Few-shot Named Entity Recognition using Vicuna—0
Causal Interventions-based Few-Shot Named Entity Recognition—0
A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Name Entity Recognition—0
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity RecognitionCode1
Type-Aware Decomposed Framework for Few-Shot Named Entity RecognitionCode1
Prompt-Based Metric Learning for Few-Shot NERCode1
Language Model Pre-Training with Sparse Latent TypingCode1
Robustness of Demonstration-based Learning Under Limited Data ScenarioCode0
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition—0
SEE-Few: Seed, Expand and Entail for Few-shot Named Entity RecognitionCode1
PCBERT: Parent and Child BERT for Chinese Few-shot NERCode0
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
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP—0
Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity RecognitionCode0
mGPT: Few-Shot Learners Go MultilingualCode2
Decomposed Meta-Learning for Few-Shot Named Entity RecognitionCode2
Few-shot Named Entity Recognition with Self-describing NetworksCode1
Label Semantics for Few Shot Named Entity RecognitionCode1
InstructionNER: A Multi-Task Instruction-Based Generative Framework for Few-shot NERCode1
QaNER: Prompting Question Answering Models for Few-shot Named Entity RecognitionCode1
Template-free Prompt Tuning for Few-shot NER—0
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