| 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 |
