tifoit

BERT-1

Tensorflow implementation of BERT for QA

bert_language_understanding

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

Kaggle-Quora-Insincere-Questions-Classification

Kaggle新赛(baseline)-基于BERT的fine-tuning方案+基于tensor2tensor的Transformer Encoder方案

Name-Entity-Recognition

Lstm-crf,Lattice-CRF,bert-ner及近年ner相关论文follow

AI_Challenger_2018

AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world. https://challenger.ai/

BERT

a simple yet complete implementation of the popular BERT model

BERT-BiLSTM-CRF-NER

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning

BERT-chinese

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 中文 汉语

bert-Chinese-classification-task

bert中文分类实践

bert-chinese-ner

使用预训练语言模型BERT做中文NER

BERT-Classification-Tutorial

bert-fine-tuning-for-chinese-multiclass-classification

use google pre-training model bert to fine-tuning for the chinese multiclass classification

BERT-NER-CLI

Bert NER command line tester with step by step setup guide

bert-sequence-tagging

基于BERT的中文序列标注

CAIL

法研杯CAIL2019阅读理解赛题参赛模型

capsule-mrc

基于capsule的观点型阅读理解模型

ChineseBert

This is a chinese Bert model specific for question answering

cn-bert

BERT在中文NLP的应用

Deep_dynamic_word_representation

TensorFlow code and pre-trained models for deep dynamic word representation (DDWR). It combines the BERT model and ELMo's deep context word representation.

factoid_QA_with_distant_spervision

Codes for "Factoid Question Answering With Distant Supervision"

LSTM_RNN_Tutorials_with_Demo

LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

NLP-BERT--ChineseVersion

谷歌自然语言处理模型BERT：论文解析与python代码

oqmrc_2018

AI Challenger 2018 阅读理解赛道代码分享

qa

TensorFlow Models for the Stanford Question Answering Dataset

Question_Answering_Models

This repo collects and re-produces models related to domains of question answering and machine reading comprehension

Seminar-Materials

组会ppt与论文--每一次的精心准备都值得留下记录😛

seq2seq-keyphrase-bert

add BERT to encoder part for https://github.com/memray/seq2seq-keyphrase-pytorch

spaCy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

sru

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

transparent_latent_gan

Use supervised learning to illuminate the latent space of GAN for controlled generation and edit