Awesome Few-shot Learning in NLP

A curated list of few-shot learning in NLP. :-)

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Table of Contents

• Papers
  • Survey
  • Research Paper

Papers

Research Paper

Year	Venue	Title
2018	EMNLP	Memory, Show the Way: Memory Based Few Shot Word Representation Learning
2018	EMNLP	Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces
2018	EMNLP	FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
2018	NAACL	Diverse Few-Shot Text Classification with Multiple Metrics
2018	COLING	Few-Shot Charge Prediction with Discriminative Legal Attributes
2019	ACL	Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification
2019	ACL	Few-Shot Representation Learning for Out-Of-Vocabulary Words
2019	ACL	Give It a Shot: Few-shot Learning to Normalize ADR Mentions in Social Media Posts
2019	EMNLP	Hierarchical Attention Prototypical Networks for Few-Shot Text Classification
2019	EMNLP	Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations
2019	EMNLP	Induction Networks for Few-Shot Text Classification
2019	EMNLP	Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs
2019	EMNLP	FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
2019	EMNLP	A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification
2019	EMNLP	Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models
2019	EMNLP	Few-Shot and Zero-Shot Learning for Historical Text Normalization
2020	ACL	Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations
2020	ACL	Few-Shot NLG with Pre-Trained Language Model
2020	ACL	Dynamic Memory Induction Networks for Few-Shot Text Classification
2020	ACL	Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network
2020	ACL	Shaping Visual Representations with Language for Few-Shot Classification
2020	ACL	Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks
2020	ACL	Meta-Learning for Few-Shot NMT Adaptation
2020	ACL	Extensively Matching for Few-shot Learning Event Detection
2020	EMNLP	Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks
2020	EMNLP	Adaptive Attentional Network for Few-Shot Knowledge Graph Completion
2020	EMNLP	Few-Shot Learning for Opinion Summarization
2020	EMNLP	Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models
2020	EMNLP	Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference
2020	EMNLP	Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning
2020	EMNLP	Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning
2020	EMNLP	Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start
2020	EMNLP	Few-shot Natural Language Generation for Task-Oriented Dialog
2020	EMNLP	Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases
2020	EMNLP	Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection
2020	EMNLP	Composed Variational Natural Language Generation for Few-shot Intents
2020	EMNLP	Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines
2020	EMNLP	Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation
2020	EMNLP	COVID-19 Surveillance through Twitter using Self-Supervised and Few Shot Learning
2020	COLING	Effective Few-Shot Classification with Transfer Learning
2020	COLING	Meta-Information Guided Meta-Learning for Few-Shot Relation Classification
2020	COLING	A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification
2020	COLING	TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching
2020	COLING	Emergent Communication Pretraining for Few-Shot Machine Translation
2020	COLING	Few-shot Pseudo-Labeling for Intent Detection
2020	COLING	Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks
2020	COLING	Few-Shot Text Classification with Edge-Labeling Graph Neural Network-Based Prototypical Network
2020	COLING	ManyEnt: A Dataset for Few-shot Entity Typing
2020	COLING	Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification
2020	COLING	Flight of the PEGASUS? Comparing Transformers on Few-shot and Zero-shot Multi-document Abstractive Summarization
2020	COLING	Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training
2020	COLING	Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction
2020	Findings	Few-shot Natural Language Generation for Task-Oriented Dialog
2020	Findings	Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases
2020	Findings	Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection
2020	Findings	Composed Variational Natural Language Generation for Few-shot Intents
2020	Findings	Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines
2020	Findings	Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation
2021	ACL	AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation
2021	ACL	Few-Shot Question Answering by Pretraining Span Selection
2021	ACL	Few-NERD: A Few-shot Named Entity Recognition Dataset
2021	ACL	TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling
2021	ACL	Making Pre-trained Language Models Better Few-shot Learners
2021	ACL	Lexicon Learning for Few Shot Sequence Modeling
2021	ACL	Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision
2021	ACL	A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters
2021	ACL	Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition
2021	ACL	Multi-Label Few-Shot Learning for Aspect Category Detection
2021	ACL	On Training Instance Selection for Few-Shot Neural Text Generation
2021	ACL	Distinct Label Representations for Few-Shot Text Classification
2021	ACL	Entity Concept-enhanced Few-shot Relation Extraction
2021	ACL	Meta-Learning for Few-Shot Named Entity Recognition
2021	ACL	Semi-supervised Meta-learning for Cross-domain Few-shot Intent Classification
2021	NAACL	Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation
2021	NAACL	Few-shot Intent Classification and Slot Filling with Retrieved Examples
2021	NAACL	DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference
2021	NAACL	Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System
2021	NAACL	Non-Parametric Few-Shot Learning for Word Sense Disambiguation
2021	NAACL	Towards Few-shot Fact-Checking via Perplexity
2021	NAACL	It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
2021	NAACL	Knowledge Guided Metric Learning for Few-Shot Text Classification
2021	NAACL	ConVEx: Data-Efficient and Few-Shot Slot Labeling
2021	NAACL	Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning
2021	NAACL	Scalable Few-Shot Learning of Robust Biomedical Name Representations
2021	EACL	Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference
2021	EACL	Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling
2021	EACL	A Neural Few-Shot Text Classification Reality Check
2021	EACL	Few-shot learning through contextual data augmentation
2021	EACL	Few-Shot Semantic Parsing for New Predicates
2021	EACL	Few-shot Learning for Slot Tagging with Attentive Relational Network
2021	EACL	Few Shot Dialogue State Tracking using Meta-learning
2021	EACL	Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs
2021	EACL	Story Centaur: Large Language Model Few Shot Learning as a Creative Writing Tool
2021	EACL	Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data
2021	Findings	Few-Shot Event Detection with Prototypical Amortized Conditional Random Field
2021	Findings	Frustratingly Simple Few-Shot Slot Tagging
2021	Findings	UserAdapter: Few-Shot User Learning in Sentiment Analysis
2021	Findings	Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models
2021	Findings	Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification
2021	Findings	Bi-Granularity Contrastive Learning for Post-Training in Few-Shot Scene
2021	Findings	Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection
2021	Findings	Don’t Miss the Labels: Label-semantic Augmented Meta-Learner for Few-Shot Text Classification
2021	Findings	Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph
2021	Findings	Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling
2021	Findings	Few-Shot Upsampling for Protest Size Detection
2021	Findings	Reordering Examples Helps during Priming-based Few-Shot Learning

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To the extent possible under law, Zhihong Chen has waived all copyright and related or neighboring rights to this work.