115 Open source projects that are alternatives of or similar to R-BERT

Relation Classification - SEMEVAL 2010 task 8 dataset

Implementation of Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification.

[AKBC 19] Improving Relation Extraction by Pre-trained Language Representations

基于深度学习的自然语言处理库

Neural Relation Extraction in Pytorch

Chinese Open Information Extraction (Tree-based Triple Relation Extraction Module)

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

An open relation extraction system

USING BERT FOR Attribute Extraction in KnowledgeGraph. fine-tuning and feature extraction. 使用基于bert的微调和特征提取方法来进行知识图谱百度百科人物词条属性抽取。

Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT

2019百度的关系抽取比赛，使用Pytorch实现苏神的模型，F1在dev集可达到0.75，联合关系抽取，Joint Relation Extraction.

📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

Adversarial Training for Neural Relation Extraction

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

AAAI20 "CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning"

Financial Domain Question Answering with pre-trained BERT Language Model

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

瑞金医院MMC人工智能辅助构建知识图谱大赛复赛

End-to-end neural relation extraction using deep biaffine attention (ECIR 2019)

PyTorch code for SpERT: Span-based Entity and Relation Transformer

Zero-shot Transfer Learning from English to Arabic

Reinforcement Learning for Relation Classification from Noisy Data(TensorFlow)

基于Pytorch和torchtext的自然语言处理深度学习框架。

A PyTorch implementation of GraphRel

A Large-Scale Few-Shot Relation Extraction Dataset

Code and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification

中文实体关系抽取，pytorch，bilstm+attention

Full abstract relation extraction from biological texts with bi-affine relation attention networks

这是一款基于web的通用文本标注工具，支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注，同时也支持文本的迭代标注和实体的嵌套标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模，并设计了全新高效的标注方式，提升了用户体验和标注效率。此外，本工具增加了审核环节，可对多人的标注结果进行一致性检验和调整，提高了标注语料的准确率和可靠性。

BERT + reproduce "Joint entity recognition and relation extraction as a multi-head selection problem" for Chinese and English IE

Code and dataset of ACL2019 Paper: Graph Neural Networks with Generated Parameters for Relation Extraction.

Code for NAACL 2019 paper: Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions

code of Relation Classification via Multi-Level Attention CNNs

Relation Extraction using Deep learning(CNN)

[ACL 19] Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction

Joint Neural Relation Extraction with Text and KGs

Relation Extraction 中文关系提取

农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

Semantic annotator: Matching CSV to a Wikibase instance (e.g., Wikidata) via Meta-lookup

Federated Knowledge Extraction Framework

REx: Relation Extraction. Modernized re-write of the code in the master's thesis: "Relation Extraction using Distant Supervision, SVMs, and Probabalistic First-Order Logic"

No description or website provided.

A collection of research on knowledge graphs

Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"

Must-read papers on neural relation extraction (NRE)

EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019

Open Information Extraction (OpenIE) and Open Relation Extraction (ORE) papers and data.

研读顶会论文，复现论文相关代码

The Libre Multilingual Analyzer, a Natural Language Processing (NLP) C++ toolkit.

基于深度学习的开源中文关系抽取框架

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

A curated list of awesome knowledge graph tutorials, projects and communities.

Tensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)

Distantly Supervised Relation Extraction

Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取

Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging

Indirect Supervision for Relation Extraction Using Question-Answer Pairs (WSDM'18)

OpenUE是一个轻量级知识图谱抽取工具 (An Open Toolkit for Universal Extraction from Text published at EMNLP2020: https://aclanthology.org/2020.emnlp-demos.1.pdf)

Code for http://lic2019.ccf.org.cn/kg 信息抽取。使用基于 BERT 的实体抽取和关系抽取的端到端的联合模型。