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
- Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks (NAACL 2019)
- Relation Adversarial Network for Low Resource Knowledge Graph Completion (WWW 2020)
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
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
Low-Resource NER
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Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models (Neurips 2019 workshop)
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Low-Resource Name Tagging Learned with Weakly Labeled Data (ACL 2019)
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A Little Annotation does a Lot of Good : A Study in Bootstrapping Low-resource Named Entity Recognizers (EMNLP 2019)
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Active Entity Recognition in Low Resource Settings (CIKM2019)
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Few-Shot Sequence Labeling with Label Dependency Transfer (arxiv)