2019hong's repositories
PyTorch_BERT_Pipeline_IE
复习论文《A Frustratingly Easy Approach for Joint Entity and Relation Extraction》
DeepIE
DeepIE: Deep Learning for Information Extraction
google-research
Google Research
joint-ner-and-re
This repository contains the corpora and supplementary data, along with instructions for recreating the experiments, for our paper: "End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models".
KBQA-for-Diagnosis
Knowledge Graph,Question Answering System，基于知识图谱和向量检索的医疗诊断问答系统
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
PURE
NAACL'2021: A Frustratingly Easy Approach for Entity and Relation Extraction
REDSandT
Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings