Pinned Repositories
BERT-Relation-Extraction
PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper
ChineseNLPCorpus
中文自然语言处理数据集，平时做做实验的材料。欢迎补充提交合并。
multihead_joint_entity_relation_extraction
Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and relation extraction (EMNLP, 2018).
NER
基于tensorflow深度学习的中文的命名实体识别
text-classification-cnn-rnn
CNN-RNN中文文本分类，基于TensorFlow
Att-BLSTM-relation-extraction
Implementation of Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification.
Bert-In-Relation-Extraction
使用Bert完成实体之间关系抽取
bert-relation-classification
A pytorch implementation of BERT-based relation classification
CNN4IE
Chinese Information Extraction Toolkit。中文信息抽取工具。利用CNN各种变体进行实体抽取。
Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
pengdada98's Repositories
pengdada98/HanLP
中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
pengdada98/Bert-In-Relation-Extraction
使用Bert完成实体之间关系抽取
pengdada98/people_relation_extract
结合BERT+GRU+ATT模型，对自己收集的人物关系数据进行模型训练，用于人物关系抽取。
pengdada98/CNN4IE
Chinese Information Extraction Toolkit。中文信息抽取工具。利用CNN各种变体进行实体抽取。
pengdada98/MultiHeadJointEntityRelationExtraction_simple
实体关系抽取，使用了百度比赛的数据集。使用pytorch实现MultiHeadJointEntityRelationExtraction，包含Bert、Albert、gru的使用，并且添加了对抗训练。最后使用Flask和Neo4j图数据库对模型进行了部署
pengdada98/Att-BLSTM-relation-extraction
Implementation of Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification.
pengdada98/BERT-Relation-Extraction
PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper
pengdada98/ChineseNLPCorpus
中文自然语言处理数据集，平时做做实验的材料。欢迎补充提交合并。
pengdada98/pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
pengdada98/Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
pengdada98/multihead_joint_entity_relation_extraction
Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and relation extraction (EMNLP, 2018).
pengdada98/relation-extraction
中文关系抽取
pengdada98/bert-relation-classification
A pytorch implementation of BERT-based relation classification
pengdada98/USC-DS-RelationExtraction
Distantly Supervised Relation Extraction
pengdada98/text-classification-cnn-rnn
CNN-RNN中文文本分类，基于TensorFlow
pengdada98/Relationship-extraction
中文关系抽取
pengdada98/NER
基于tensorflow深度学习的中文的命名实体识别