The implementation of the AutoEncoder-coupled Transformer Network by TensorFlow

Official Stanford NLP Python Library for Many Human Languages

基于Bert（或Robert）预训练模型微调命名实体识别任务，并提供基于docker的Tensor Serving部署模型方案实现过程。

Read 'Dice Loss for Data-imbalanced NLP Tasks' this evening and try to implement it

Multi-Grained Named Entity Recognition (ACL 2019)

基于Scrapy的QQ音乐爬虫(QQ Music Spider)，爬取歌曲信息、歌词、精彩评论等，并且分享了QQ音乐中排名前6400名的内地和港台歌手的49万+的音乐语料

SSL using PyTorch

A tensorflow implementation of Knowledge-aware Graph Neural Networks with Label Smoothness regularization

A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

The code for "A Unified MRC Framework for Named Entity Recognition"

使用预训练语言模型ALBERT做中文NER

Code for NeurIPS 2019 - Glyce: Glyph-vectors for Chinese Character Representations

达观信息提取比赛第九名代码

Natural Language Processing Best Practices & Examples

ccks baidu entity link 实体链接 第一名

The implementation of Dual Adversarial Neural Transfer (DATNets) for Sequence Labeling, which is able to tackle sequence labeling tasks such as POS Tagging, NER, Chunking,etc..

Hierarchically-Refined Label Attention Network for Sequence Labeling

Source code for paper Neural Architectures for Nested NER through Linearization

BERT-NER (nert-bert) with google bert https://github.com/google-research.

CCKS 2019 Task 2: Entity Recognition and Linking

基于CNN+Bi-LSTM+Attention 的自动对对联系统

Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)

Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction"

利用网络上公开的数据构建一个小型的证券知识图谱/知识库

Comparison of Chinese Named Entity Recognition Models between NeuroNER and BertNER

Implementation for the paper "DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks", which has been accepted by KDD'2019.

Code for the paper: GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling