Code and documentation to train Stanford's Alpaca models, and generate the data.

腾讯云官方文档

Ongoing research training transformer language models at scale, including: BERT & GPT-2

Chinese Pre-Trained Language Models (CPM-LM) Version-I

中文语言理解基准测评 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

Tensorflow implementation of ACL2020 paper "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks."

Source code of K-BERT (AAAI2020)

Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"

some baselines for lic2020 (http://lic2020.cipsc.org.cn/)

中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…

SpaCy 中文模型 | Models for SpaCy that support Chinese

✨Fast Coreference Resolution in spaCy with Neural Networks

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

An open-source NLP research library, built on PyTorch.

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

Pre-Trained Chinese XLNet（中文XLNet预训练模型）

A natural language modeling framework based on PyTorch

XLNet: Generalized Autoregressive Pretraining for Language Understanding

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

XLNet Extension in TensorFlow

Reading Wikipedia to Answer Open-Domain Questions

A collection of some materials of knowledge graph question answering

Natural Language Processing Tutorial for Deep Learning Researchers

Code & data accompanying the NAACL2019 paper "Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases"

RoBERTa中文预训练模型: RoBERTa for Chinese

Bert finetune for CMRC2018, CJRC, DRCD...

Kashgari 框架的中文文档

Conditional Transformer Language Model for Controllable Generation (https://einstein.ai/presentations/ctrl.pdf)

Multilabel classification for Toxic comments challenge using Bert