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albert_zh

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

algorithm

bert

TensorFlow code and pre-trained models for BERT

bert-flow

TensorFlow implementation of On the Sentence Embeddings from Pre-trained Language Models (EMNLP 2020)

bert-mrc

keras implementation of the research paper: A Unified MRC Framework for Named Entity Recognition

bert-sum

the keras implementation of the research paper []()

bert-whitening

简单的向量白化改善句向量质量

bert4keras

keras implement of transformers for humans

bert4torch

参考bert4keras的pytorch实现

bert_keras_nlp

使用keras和bert进行文本分类

bertner

ChineseNER based on BERT, with BiLSTM+CRF layer

casrel

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

ccf_ie

2019百度语言与智能技术竞赛信息抽取赛代5名代码

ccks_baidu_entity_link

ccks baidu entity link 实体链接 第一名

chinese-bert-wwm

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

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

chinesener

A neural network model for Chinese named entity recognition

chinesenlpcorpus

搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。

clue

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

crf-layer-on-the-top-of-bilstm

The CRF Layer was implemented by using Chainer 2.0. Please see more details here: https://createmomo.github.io/2017/09/12/CRF_Layer_on_the_Top_of_BiLSTM_1/

deeplearn

Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.

deeplearningbook-chinese

Deep Learning Book Chinese Translation

el-2019

2019年百度的实体链接比赛，“科学空间队”源码

emotional-analysis-transformers2.0-bert

本项目的数据来自“互联网新闻情感分析”赛题。基于Transformer2.0库中的中文Bert模型，对新闻语料进行三分类。

entity-linking-with-cnn

Based on the model of Yaming Sun et al. at IJCAI 2015

entity-recognition-and-relation-extraction

BiGRU、BERT

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

event-extration

2020语言与智能技术竞赛：事件抽取任务

extracttriples

抽取中文三元组

few-nerd

Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"