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Few-shot NER

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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].

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/EagleW/Chem-FINESE

공식 코드

Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction

https://github.com/Nealcly/templateNER

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Template-Based Named Entity Recognition Using BART

https://github.com/Serega6678/NuNER

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NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data

https://github.com/achen-qaq/proml

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Prompt-Based Metric Learning for Few-Shot NER

https://github.com/ai-forever/mgpt

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mGPT: Few-Shot Learners Go Multilingual

https://github.com/asappresearch/structshot

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Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning

https://github.com/ayoubhammal/ckss4ner

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Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace Selection

https://github.com/br-ai-ns-institute/zero-shotner

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From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot Contexts

https://github.com/chen700564/metaner-icl

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Learning In-context Learning for Named Entity Recognition

https://github.com/chen700564/sdnet

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Few-shot Named Entity Recognition with Self-describing Networks

https://github.com/chen700564/supercd

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Few-shot Named Entity Recognition via Superposition Concept Discrimination

https://github.com/ckgconstruction/bdcp

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Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification

https://github.com/deezer/net-ner-probing

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Probing Pre-trained Auto-regressive Language Models for Named Entity Typing and Recognition

https://github.com/dmis-lab/gener

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Simple Questions Generate Named Entity Recognition Datasets

https://github.com/dongguanting/msdp-fewshot-ner

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A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER

https://github.com/hccngu/metnet

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Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition

https://github.com/ibrahimself/fewtopner

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FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual Framework

https://github.com/lifan-yuan/factmix

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FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition

https://github.com/liyongqi2002/TadNER

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Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition

https://github.com/masoud-monajati/llm_bio_ner

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LLMs in Biomedicine: A study on clinical Named Entity Recognition

https://github.com/microsoft/vert-papers

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Decomposed Meta-Learning for Few-Shot Named Entity Recognition

https://github.com/nlpwm-whu/tadner

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Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition

https://github.com/psunlpgroup/container

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CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning

https://github.com/renll/sparselt

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Language Model Pre-Training with Sparse Latent Typing

https://github.com/rtmaww/EntLM

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Template-free Prompt Tuning for Few-shot NER

https://github.com/salt-nlp/robustdemo

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Robustness of Demonstration-based Learning Under Limited Data Scenario

https://github.com/shuaiwa16/OtherClassNER

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Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition

https://github.com/thunlp/Few-NERD

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Few-NERD: A Few-Shot Named Entity Recognition Dataset

https://github.com/toneli/rt-retrieving-and-thinking

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How far is Language Model from 100% Few-shot Named Entity Recognition in Medical Domain

https://github.com/unveiled-the-red-hat/SEE-Few

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SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition

https://github.com/wangpeiyi9979/esd

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An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling

https://github.com/wzh-nlp/pltr

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Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features

https://github.com/zhang-mozhi/promptner

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PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor Search

https://github.com/zihanwangki/fffner

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Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition

https://github.com/TianWuYuJiangHenShou/LabelSemantics

Label Semantics for Few Shot Named Entity Recognition

https://github.com/dayyass/QaNER

QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition

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