Pinned Repositories
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Entity-Relation-Extraction
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
IE-Bert-CNN
一个关于百度2019语言与智能技术竞赛信息抽取 (http://lic2019.ccf.org.cn/kg) 模型, 模型采用BERT+CNN。DEMO地址 https://github.com/Wangpeiyi9979/InformationExtractionDemo
Information-Extraction-Chinese
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
NRE
Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT
NREPapers
Must-read papers on neural relation extraction (NRE)
OpenNRE
An Open-Source Package for Neural Relation Extraction (NRE)
Research
novel deep learning research works with PaddlePaddle
Spert
FreddieXu's Repositories
FreddieXu/Spert
FreddieXu/NRE
Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT
FreddieXu/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
FreddieXu/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
FreddieXu/Entity-Relation-Extraction
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
FreddieXu/IE-Bert-CNN
一个关于百度2019语言与智能技术竞赛信息抽取 (http://lic2019.ccf.org.cn/kg) 模型, 模型采用BERT+CNN。DEMO地址 https://github.com/Wangpeiyi9979/InformationExtractionDemo
FreddieXu/Information-Extraction-Chinese
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
FreddieXu/NREPapers
Must-read papers on neural relation extraction (NRE)
FreddieXu/OpenNRE
An Open-Source Package for Neural Relation Extraction (NRE)
FreddieXu/Research
novel deep learning research works with PaddlePaddle
FreddieXu/research_tao
NLP研究入门之道