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https://github.com/zhjohnchan/awesome-few-shot-learning-in-nlp
A curated list of few-shot learning in NLP. :-)
https://github.com/zhjohnchan/awesome-few-shot-learning-in-nlp
List: awesome-few-shot-learning-in-nlp
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A curated list of few-shot learning in NLP. :-)
- Host: GitHub
- URL: https://github.com/zhjohnchan/awesome-few-shot-learning-in-nlp
- Owner: zhjohnchan
- Created: 2021-10-30T14:08:46.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2021-10-30T14:40:00.000Z (about 3 years ago)
- Last Synced: 2024-04-10T05:19:34.320Z (7 months ago)
- Homepage:
- Size: 6.84 KB
- Stars: 64
- Watchers: 1
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- ultimate-awesome - awesome-few-shot-learning-in-nlp - A curated list of few-shot learning in NLP. :-). (Other Lists / PowerShell Lists)
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README
# Awesome Few-shot Learning in NLP[](https://awesome.re)
A curated list of few-shot learning in NLP. :-)
## Contributing
Please feel free to send me [pull requests](https://github.com/zhjohnchan/awesome-few-shot-learning-in-nlp/pulls) or email ([email protected]) to add links.
## Table of Contents
- [Papers](#papers)
- [Survey](#survey)
- [Research Paper](#research-paper)
## Papers
### Research Paper
| Year | Venue | Title |
|-------:|:---------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 2018 | EMNLP | [Memory, Show the Way: Memory Based Few Shot Word Representation Learning](https://aclanthology.org/D18-1173.pdf) |
| 2018 | EMNLP | [Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces](https://aclanthology.org/D18-1352.pdf) |
| 2018 | EMNLP | [FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation](https://aclanthology.org/D18-1514.pdf) |
| 2018 | NAACL | [Diverse Few-Shot Text Classification with Multiple Metrics](https://aclanthology.org/N18-1109.pdf) |
| 2018 | COLING | [Few-Shot Charge Prediction with Discriminative Legal Attributes](https://aclanthology.org/C18-1041.pdf) |
| 2019 | ACL | [Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification](https://aclanthology.org/P19-1277.pdf) |
| 2019 | ACL | [Few-Shot Representation Learning for Out-Of-Vocabulary Words](https://aclanthology.org/P19-1402.pdf) |
| 2019 | ACL | [Give It a Shot: Few-shot Learning to Normalize ADR Mentions in Social Media Posts](https://aclanthology.org/W19-3219.pdf) |
| 2019 | EMNLP | [Hierarchical Attention Prototypical Networks for Few-Shot Text Classification](https://aclanthology.org/D19-1045.pdf) |
| 2019 | EMNLP | [Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations](https://aclanthology.org/D19-1334.pdf) |
| 2019 | EMNLP | [Induction Networks for Few-Shot Text Classification](https://aclanthology.org/D19-1403.pdf) |
| 2019 | EMNLP | [Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs](https://aclanthology.org/D19-1431.pdf) |
| 2019 | EMNLP | [FewRel 2.0: Towards More Challenging Few-Shot Relation Classification](https://aclanthology.org/D19-1649.pdf) |
| 2019 | EMNLP | [A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification](https://aclanthology.org/D19-6101.pdf) |
| 2019 | EMNLP | [Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models](https://aclanthology.org/D19-6104.pdf) |
| 2019 | EMNLP | [Few-Shot and Zero-Shot Learning for Historical Text Normalization](https://aclanthology.org/D19-6112.pdf) |
| 2020 | ACL | [Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations](https://aclanthology.org/2020.acl-main.11.pdf) |
| 2020 | ACL | [Few-Shot NLG with Pre-Trained Language Model](https://aclanthology.org/2020.acl-main.18.pdf) |
| 2020 | ACL | [Dynamic Memory Induction Networks for Few-Shot Text Classification](https://aclanthology.org/2020.acl-main.102.pdf) |
| 2020 | ACL | [Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network](https://aclanthology.org/2020.acl-main.128.pdf) |
| 2020 | ACL | [Shaping Visual Representations with Language for Few-Shot Classification](https://aclanthology.org/2020.acl-main.436.pdf) |
| 2020 | ACL | [Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks](https://aclanthology.org/2020.acl-main.517.pdf) |
| 2020 | ACL | [Meta-Learning for Few-Shot NMT Adaptation](https://aclanthology.org/2020.ngt-1.5.pdf) |
| 2020 | ACL | [Extensively Matching for Few-shot Learning Event Detection](https://aclanthology.org/2020.nuse-1.5.pdf) |
| 2020 | EMNLP | [Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks](https://aclanthology.org/2020.emnlp-main.38.pdf) |
| 2020 | EMNLP | [Adaptive Attentional Network for Few-Shot Knowledge Graph Completion](https://aclanthology.org/2020.emnlp-main.131.pdf) |
| 2020 | EMNLP | [Few-Shot Learning for Opinion Summarization](https://aclanthology.org/2020.emnlp-main.337.pdf) |
| 2020 | EMNLP | [Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models](https://aclanthology.org/2020.emnlp-main.375.pdf) |
| 2020 | EMNLP | [Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference](https://aclanthology.org/2020.emnlp-main.411.pdf) |
| 2020 | EMNLP | [Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning](https://aclanthology.org/2020.emnlp-main.469.pdf) |
| 2020 | EMNLP | [Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning](https://aclanthology.org/2020.emnlp-main.516.pdf) |
| 2020 | EMNLP | [Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start](https://aclanthology.org/2020.emnlp-main.660.pdf) |
| 2020 | EMNLP | [Few-shot Natural Language Generation for Task-Oriented Dialog](https://aclanthology.org/2020.findings-emnlp.17.pdf) |
| 2020 | EMNLP | [Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases](https://aclanthology.org/2020.findings-emnlp.51.pdf) |
| 2020 | EMNLP | [Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection](https://aclanthology.org/2020.findings-emnlp.108.pdf) |
| 2020 | EMNLP | [Composed Variational Natural Language Generation for Few-shot Intents](https://aclanthology.org/2020.findings-emnlp.303.pdf) |
| 2020 | EMNLP | [Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines](https://aclanthology.org/2020.findings-emnlp.380.pdf) |
| 2020 | EMNLP | [Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation](https://aclanthology.org/2020.findings-emnlp.405.pdf) |
| 2020 | EMNLP | [COVID-19 Surveillance through Twitter using Self-Supervised and Few Shot Learning](https://aclanthology.org/2020.nlpcovid19-2.9.pdf) |
| 2020 | COLING | [Effective Few-Shot Classification with Transfer Learning](https://aclanthology.org/2020.coling-main.92.pdf) |
| 2020 | COLING | [Meta-Information Guided Meta-Learning for Few-Shot Relation Classification](https://aclanthology.org/2020.coling-main.140.pdf) |
| 2020 | COLING | [A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification](https://aclanthology.org/2020.coling-main.142.pdf) |
| 2020 | COLING | [TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching](https://aclanthology.org/2020.coling-main.179.pdf) |
| 2020 | COLING | [Emergent Communication Pretraining for Few-Shot Machine Translation](https://aclanthology.org/2020.coling-main.416.pdf) |
| 2020 | COLING | [Few-shot Pseudo-Labeling for Intent Detection](https://aclanthology.org/2020.coling-main.438.pdf) |
| 2020 | COLING | [Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks](https://aclanthology.org/2020.coling-main.448.pdf) |
| 2020 | COLING | [Few-Shot Text Classification with Edge-Labeling Graph Neural Network-Based Prototypical Network](https://aclanthology.org/2020.coling-main.485.pdf) |
| 2020 | COLING | [ManyEnt: A Dataset for Few-shot Entity Typing](https://aclanthology.org/2020.coling-main.486.pdf) |
| 2020 | COLING | [Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification](https://aclanthology.org/2020.coling-main.488.pdf) |
| 2020 | COLING | [Flight of the PEGASUS? Comparing Transformers on Few-shot and Zero-shot Multi-document Abstractive Summarization](https://aclanthology.org/2020.coling-main.494.pdf) |
| 2020 | COLING | [Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training](https://aclanthology.org/2020.coling-main.510.pdf) |
| 2020 | COLING | [Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction](https://aclanthology.org/2020.coling-main.563.pdf) |
| 2020 | Findings | [Few-shot Natural Language Generation for Task-Oriented Dialog](https://aclanthology.org/2020.findings-emnlp.17.pdf) |
| 2020 | Findings | [Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases](https://aclanthology.org/2020.findings-emnlp.51.pdf) |
| 2020 | Findings | [Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection](https://aclanthology.org/2020.findings-emnlp.108.pdf) |
| 2020 | Findings | [Composed Variational Natural Language Generation for Few-shot Intents](https://aclanthology.org/2020.findings-emnlp.303.pdf) |
| 2020 | Findings | [Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines](https://aclanthology.org/2020.findings-emnlp.380.pdf) |
| 2020 | Findings | [Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation](https://aclanthology.org/2020.findings-emnlp.405.pdf) |
| 2021 | ACL | [AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation](https://aclanthology.org/2021.acl-long.95.pdf) |
| 2021 | ACL | [Few-Shot Question Answering by Pretraining Span Selection](https://aclanthology.org/2021.acl-long.239.pdf) |
| 2021 | ACL | [Few-NERD: A Few-shot Named Entity Recognition Dataset](https://aclanthology.org/2021.acl-long.248.pdf) |
| 2021 | ACL | [TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling](https://aclanthology.org/2021.acl-long.293.pdf) |
| 2021 | ACL | [Making Pre-trained Language Models Better Few-shot Learners](https://aclanthology.org/2021.acl-long.295.pdf) |
| 2021 | ACL | [Lexicon Learning for Few Shot Sequence Modeling](https://aclanthology.org/2021.acl-long.382.pdf) |
| 2021 | ACL | [Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision](https://aclanthology.org/2021.acl-long.390.pdf) |
| 2021 | ACL | [A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters](https://aclanthology.org/2021.acl-long.447.pdf) |
| 2021 | ACL | [Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition](https://aclanthology.org/2021.acl-long.487.pdf) |
| 2021 | ACL | [Multi-Label Few-Shot Learning for Aspect Category Detection](https://aclanthology.org/2021.acl-long.495.pdf) |
| 2021 | ACL | [On Training Instance Selection for Few-Shot Neural Text Generation](https://aclanthology.org/2021.acl-short.2.pdf) |
| 2021 | ACL | [Distinct Label Representations for Few-Shot Text Classification](https://aclanthology.org/2021.acl-short.105.pdf) |
| 2021 | ACL | [Entity Concept-enhanced Few-shot Relation Extraction](https://aclanthology.org/2021.acl-short.124.pdf) |
| 2021 | ACL | [Meta-Learning for Few-Shot Named Entity Recognition](https://aclanthology.org/2021.metanlp-1.6.pdf) |
| 2021 | ACL | [Semi-supervised Meta-learning for Cross-domain Few-shot Intent Classification](https://aclanthology.org/2021.metanlp-1.8.pdf) |
| 2021 | NAACL | [Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation](https://aclanthology.org/2021.naacl-main.57.pdf) |
| 2021 | NAACL | [Few-shot Intent Classification and Slot Filling with Retrieved Examples](https://aclanthology.org/2021.naacl-main.59.pdf) |
| 2021 | NAACL | [DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference](https://aclanthology.org/2021.naacl-main.88.pdf) |
| 2021 | NAACL | [Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System](https://aclanthology.org/2021.naacl-main.106.pdf) |
| 2021 | NAACL | [Non-Parametric Few-Shot Learning for Word Sense Disambiguation](https://aclanthology.org/2021.naacl-main.142.pdf) |
| 2021 | NAACL | [Towards Few-shot Fact-Checking via Perplexity](https://aclanthology.org/2021.naacl-main.158.pdf) |
| 2021 | NAACL | [It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners](https://aclanthology.org/2021.naacl-main.185.pdf) |
| 2021 | NAACL | [Knowledge Guided Metric Learning for Few-Shot Text Classification](https://aclanthology.org/2021.naacl-main.261.pdf) |
| 2021 | NAACL | [ConVEx: Data-Efficient and Few-Shot Slot Labeling](https://aclanthology.org/2021.naacl-main.264.pdf) |
| 2021 | NAACL | [Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning](https://aclanthology.org/2021.naacl-main.434.pdf) |
| 2021 | NAACL | [Scalable Few-Shot Learning of Robust Biomedical Name Representations](https://aclanthology.org/2021.bionlp-1.3.pdf) |
| 2021 | EACL | [Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference](https://aclanthology.org/2021.eacl-main.20.pdf) |
| 2021 | EACL | [Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling](https://aclanthology.org/2021.eacl-main.65.pdf) |
| 2021 | EACL | [A Neural Few-Shot Text Classification Reality Check](https://aclanthology.org/2021.eacl-main.79.pdf) |
| 2021 | EACL | [Few-shot learning through contextual data augmentation](https://aclanthology.org/2021.eacl-main.90.pdf) |
| 2021 | EACL | [Few-Shot Semantic Parsing for New Predicates](https://aclanthology.org/2021.eacl-main.109.pdf) |
| 2021 | EACL | [Few-shot Learning for Slot Tagging with Attentive Relational Network](https://aclanthology.org/2021.eacl-main.134.pdf) |
| 2021 | EACL | [Few Shot Dialogue State Tracking using Meta-learning](https://aclanthology.org/2021.eacl-main.148.pdf) |
| 2021 | EACL | [Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs](https://aclanthology.org/2021.eacl-main.245.pdf) |
| 2021 | EACL | [Story Centaur: Large Language Model Few Shot Learning as a Creative Writing Tool](https://aclanthology.org/2021.eacl-demos.29.pdf) |
| 2021 | EACL | [Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data](https://aclanthology.org/2021.adaptnlp-1.24.pdf) |
| 2021 | Findings | [Few-Shot Event Detection with Prototypical Amortized Conditional Random Field](https://aclanthology.org/2021.findings-acl.3.pdf) |
| 2021 | Findings | [Frustratingly Simple Few-Shot Slot Tagging](https://aclanthology.org/2021.findings-acl.88.pdf) |
| 2021 | Findings | [UserAdapter: Few-Shot User Learning in Sentiment Analysis](https://aclanthology.org/2021.findings-acl.129.pdf) |
| 2021 | Findings | [Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models](https://aclanthology.org/2021.findings-acl.136.pdf) |
| 2021 | Findings | [Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification](https://aclanthology.org/2021.findings-acl.145.pdf) |
| 2021 | Findings | [Bi-Granularity Contrastive Learning for Post-Training in Few-Shot Scene](https://aclanthology.org/2021.findings-acl.151.pdf) |
| 2021 | Findings | [Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection](https://aclanthology.org/2021.findings-acl.214.pdf) |
| 2021 | Findings | [Don’t Miss the Labels: Label-semantic Augmented Meta-Learner for Few-Shot Text Classification](https://aclanthology.org/2021.findings-acl.245.pdf) |
| 2021 | Findings | [Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph](https://aclanthology.org/2021.findings-acl.278.pdf) |
| 2021 | Findings | [Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling](https://aclanthology.org/2021.findings-acl.282.pdf) |
| 2021 | Findings | [Few-Shot Upsampling for Protest Size Detection](https://aclanthology.org/2021.findings-acl.325.pdf) |
| 2021 | Findings | [Reordering Examples Helps during Priming-based Few-Shot Learning](https://aclanthology.org/2021.findings-acl.395.pdf) |
## Licenses
[](http://creativecommons.org/publicdomain/zero/1.0/)
To the extent possible under law, [Zhihong Chen](https://github.com/zhjohnchan) has waived all copyright and related or neighboring rights to this work.