#自然语言处理#📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
#自然语言处理#skweak: A software toolkit for weak supervision applied to NLP tasks
翻译 - skweak：适用于 NLP 任务的弱监督软件工具包
Learning Named Entity Tagger from Domain-Specific Dictionary
#自然语言处理#BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision
#自然语言处理#EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow
#自然语言处理#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
#自然语言处理#[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
#自然语言处理#Source code for paper "Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction" (EMNLP 2019)
#自然语言处理#Combining Distant and Direct Supervision for Neural Relation Extraction
#自然语言处理#Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings
#自然语言处理#NAACL 2019 "Structured Minimally Supervised Learning for Neural Relation Extraction"
#自然语言处理#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.
#大语言模型#[EMNLP 2023] Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language Models
Resources for the paper "PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction"