📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
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Updated
Jan 27, 2022
📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
Learning Named Entity Tagger from Domain-Specific Dictionary
skweak: A software toolkit for weak supervision applied to NLP tasks
EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow
BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
Code for NAACL 2019 paper: Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions
[ACL 19] Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction
ACL 2021
Combining Distant and Direct Supervision for Neural Relation Extraction
[EMNLP 2021] Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training
Noise Reduction Methods for Distantly Supervised Biomedical Relation Extraction
MIL-RBERT: A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction (BioNLP @ ACL 2020)
Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings
Implementation of Neural Relation Extraction with Selective Attention over Instances.
Source code for paper "Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction" (EMNLP 2019)
Code for AICS paper: "Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction"
Resources for the paper "PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction"
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