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albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

albert_pytorch

A Lite Bert For Self-Supervised Learning Language Representations

albert_zh

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

alibabacloud-aiacc-demo

alibabacloud-aiacc-demo

awesome-incremental-learning

Awesome Incremental Learning

bert-multitask-learning

BERT for Multitask Learning

bert-of-theseus

⛵️The official PyTorch implementation for "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing".

bert-of-theseus-tf

tensorflow version of bert-of-theseus

bert_page

some pictures of bert

ccks2020-baseline

CCKS 2020: 基于本体的金融知识图谱自动化构建技术评测

ccks2020-task8

军事装备试验鉴定是指通过规范化的组织形式和试验活动，对被试对象进行全面考核并作出评价结论的国家最高检验行为，涵盖方法、技术、器件、武器系统、平台系统、体系、训练演习等领域，涉及面广、专业性强。 近年来，自然语言理解和人工智能技术飞速发展，日趋成为推动大数据建设的重要力量。试验鉴定由于试验目的的不同、被试对象的特点、武器系统的特性，有着自身较为特殊的语言形式，自然语言处理技术服务于该领域大数据建设的效果如何、基线在哪里，是总体单位非常关注的问题。 为此，我们以命名实体识别任务为切入点，逐步开展这方面的工作，以期通过评测的形式，促进交流、掌握基线、提升技术水平，遴选优秀技术为相关项目建设提供参考，共同推动试验鉴定领域大数据建设。

ccks_kg

ccks2020基于本体的金融知识图谱自动化构建技术评测第五名方法总结

ccks_ner

ccks2020 NER competitions

chinesediachroniccorpus

ChineseDiachronicCorpus，中文历时语料库，横跨六十余年，包括腾讯历时新闻2000-2016，人民日报历时语料1946-2003，参考消息历时语料1957-2002。基于历时流通语料库，可用于历时语言变化计算、语言监测、社会文化变迁研究提供基础性的语料支持。

clue

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

cofee

cwd

Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning"

deebert

DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference

deeplearningexamples

Deep Learning Examples

easytransfer

EasyTransfer is designed to make the development of transfer learning in NLP applications easier.

fastbert

对ACL2020 FastBERT论文的复现，论文地址:https://arxiv.org/pdf/2004.02178.pdf

fastnlp

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

fewclue

中文小样本学习 Benchmark

flat-ner

code for ACL2020:《FLAT: Chinese NER Using Flat-Lattice Transformer》 我注释&修改&添加了部分源码，使得大家更容易复现这个代码。

google-research

Google Research

ifner

kbqa-bert

基于知识图谱的问答系统，BERT做命名实体识别和句子相似度，分为online和outline模式

labelsemantics

Code for Label Semantics for Few Shot Named Entity Recognition

lstm-jump-for-text-skimming

Reimplementation of "Learning to Skim Text"

mrc-for-flat-nested-ner

Code for ACL 2020 paper `A Unified MRC Framework for Named Entity Recognition`