以Spring Boot框架为载体，通过集成hanLP、neo4j、spark-mllib实现基于电影知识图谱的简易问答系统。

resources for the paper 'Get To The Point: Summarization with Pointer-Generator Networks' with python3.x. overview on the post http://www.abigailsee.com/2017/04/16/taming-rnns-for-better-summarization.html or

个人博客

transformer xl在中文文本生成上的尝试（效果意外的好，可写小说、古诗）（transformer xl for text generation of chinese）

CNN-RNN中文文本分类，基于TensorFlow

The classical BiLSTM-CRF model implemented in Tensorflow, for sequence labeling tasks. In Vex version, everything is configurable.

基于最新版本rasa搭建的对话系统demo

总结NLP中常见的几种预训练语言模型

including text classifier, language model, pre_trained model, multi_label classifier, text generator, dialogue. etc

Models and examples built with TensorFlow

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

Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取

Just add comments to my github pages

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

here to design a dialogue-system(robot)

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

TensorFlow code and pre-trained models for BERT