Relation-ClassificationRelation Classification - SEMEVAL 2010 task 8 dataset
Stars: ✭ 46 (-23.33%)
Mutual labels: relation-extraction, semeval-2010
R-BERTPytorch re-implementation of R-BERT model
Stars: ✭ 59 (-1.67%)
Mutual labels: relation-extraction, semeval-2010
R BertPytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"
Stars: ✭ 150 (+150%)
Mutual labels: relation-extraction
Agriculture knowledgegraph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
Stars: ✭ 2,957 (+4828.33%)
Mutual labels: relation-extraction
Marktool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。
Stars: ✭ 190 (+216.67%)
Mutual labels: relation-extraction
FoxFederated Knowledge Extraction Framework
Stars: ✭ 155 (+158.33%)
Mutual labels: relation-extraction
Cnn Relation ExtractionTensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)
Stars: ✭ 203 (+238.33%)
Mutual labels: relation-extraction
Open Ie PapersOpen Information Extraction (OpenIE) and Open Relation Extraction (ORE) papers and data.
Stars: ✭ 150 (+150%)
Mutual labels: relation-extraction
limaThe Libre Multilingual Analyzer, a Natural Language Processing (NLP) C++ toolkit.
Stars: ✭ 75 (+25%)
Mutual labels: relation-extraction
Cnn Re TfConvolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow
Stars: ✭ 190 (+216.67%)
Mutual labels: relation-extraction
Bert AttributeextractionUSING 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。
Stars: ✭ 224 (+273.33%)
Mutual labels: relation-extraction
Pytorch Acnn Modelcode of Relation Classification via Multi-Level Attention CNNs
Stars: ✭ 170 (+183.33%)
Mutual labels: relation-extraction
Ruijin round2瑞金医院MMC人工智能辅助构建知识图谱大赛复赛
Stars: ✭ 159 (+165%)
Mutual labels: relation-extraction
Pytorch graph RelA PyTorch implementation of GraphRel
Stars: ✭ 204 (+240%)
Mutual labels: relation-extraction
Deeplearning nlp基于深度学习的自然语言处理库
Stars: ✭ 154 (+156.67%)
Mutual labels: relation-extraction
GP-GNNCode and dataset of ACL2019 Paper: Graph Neural Networks with Generated Parameters for Relation Extraction.
Stars: ✭ 52 (-13.33%)
Mutual labels: relation-extraction
Tensorflow rlreReinforcement Learning for Relation Classification from Noisy Data(TensorFlow)
Stars: ✭ 150 (+150%)
Mutual labels: relation-extraction
Relation Classification Using Bidirectional Lstm TreeTensorFlow 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
Stars: ✭ 167 (+178.33%)
Mutual labels: relation-extraction
spertPyTorch code for SpERT: Span-based Entity and Relation Transformer
Stars: ✭ 572 (+853.33%)
Mutual labels: relation-extraction