Paper List of Low-Resource KBP

Some papers on low-resource knowledge base population. (mostly from 2018 to 2020)

Low-Resource KGE

Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion (EMNLP 2019)
Meta Reasoning over Knowledge Graphs (arXiv 2019)
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs (EMNLP 2019)
One-Shot Relational Learning for Knowledge Graphs (EMNLP 2018)
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs (AAAI2020)
Relation Adversarial Network for Low Resource Knowledge Graph Completion (WWW 2020)

Low-Resource RE

Supervised or Distantly Supervised Learning

Distant supervision of relation extraction in sparse data (Intelligent Data Analysis 2019)
Learning dual retrieval module for semi-supervised relation extraction (WWW 2019)

Transfer Learning

Meta Learning

FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation (EMNLP 2018)
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification (EMNLP 2019)
One-shot learning for fine-grained relation extraction via convolutional siamese neural network (2017 IEEE International Conference on Big Data)
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification (ACL 2019)
Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification (AAAI 2019)

Pre-training

Matching the Blanks: Distributional Similarity for Relation Learning (ACL 2019)

Low-Resource EE

Supervised or Distantly Supervised Learning

Automatically Labeled Data Generation for Large Scale Event Extraction (ACL 2017)
Event Detection and Co-reference with Minimal Supervision (EMNLP 2016)

Transfer Learning

Zero-Shot Transfer Learning for Event Extraction (ACL 2018)
Event Detection via Gated Multilingual Attention Mechanism (AAAI 2018)

Meta Learning

Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection (WSDM 2020)

Pre-training

Exploring Pre-trained Language Models for Event Extraction and Generation (ACL 2019)

Low-Resource NER

Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models (Neurips 2019 workshop)
Low-Resource Name Tagging Learned with Weakly Labeled Data (ACL 2019)
A Little Annotation does a Lot of Good : A Study in Bootstrapping Low-resource Named Entity Recognizers (EMNLP 2019)
Active Entity Recognition in Low Resource Settings (CIKM2019)
Few-Shot Sequence Labeling with Label Dependency Transfer (arxiv)