There are 10 repositories under distant-supervision topic.
📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
skweak: A software toolkit for weak supervision applied to NLP tasks
Learning Named Entity Tagger from Domain-Specific Dictionary
BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision
EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow
Code for NAACL 2019 paper: Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
[ACL 19] Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction
[EMNLP 2021] Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training
Source code for paper "Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction" (EMNLP 2019)
Combining Distant and Direct Supervision for Neural Relation Extraction
ACL 2021
NAACL 2019 "Structured Minimally Supervised Learning for Neural Relation Extraction"
Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings
Korean Moview Review Emotion (KMRE) Dataset
MIL-RBERT: A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction (BioNLP @ ACL 2020)
Implementation of Neural Relation Extraction with Selective Attention over Instances.
Resources for the paper "PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction"
Earth observations, especially satellite data, have produced a wealth of methods and results in meeting global challenges, often presented in unstructured texts such as papers or reports. Accurate extraction of satellite and instrument entities from these unstructured texts can help to link and reuse Earth observation resources.
[EMNLP 2023] Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language Models
Code and dataset for IJCNN2019 paper 'Dilated Convolutional Networks Incorporating Soft Entity Type Constraints for Distant Supervised Relation Extraction'
Code for AICS paper: "Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction"
Linked Data Knowledge Base Population (KBP) framework built on top of Snorkel. The default configuration uses Wikipedia as text corpus and DBpedia as target.
Codebase for the ACL 2023 paper: "Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data"
A template for neural relation extraction
Repository for the experiments and dataset described in "Simple Queries as Distant Labels for Predicting Gender on Twitter" presented at W-NUT 2017.
A hybrid approach toward biomedical relation extraction training corpora: combining distant supervision with crowdsourcing
Creation of a NER-annotated corpus using Wikipedia and WikiData.
Dataset as a part of RANLP'2019 paper "Distant Supervision for Sentiment Attitude Extraction"
A parallel corpus of article-headline pairs obtained from Japanese Wikinews.