A novel pipeline framework for multi-hop complex KGQA task. It aims at Improving Multi-hop Embedded Knowledge Graph Question Answering by Introducing Relational Chain Reasoning

基于法律裁判文书的事件抽取及其应用，包括数据的分词、词性标注、命名实体识别、事件要素抽取和判决结果预测等内容

nlp相关的一些论文及代码, 包括主题模型、词向量(Word Embedding)、命名实体识别(NER)、文本分类(Text Classificatin)、文本生成(Text Generation)、文本相似性(Text Similarity)计算等，涉及到各种与nlp相关的算法，基于keras和tensorflow。

all kinds of text classification models and more with deep learning

Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"

A PyTorch implementation of GraphRel

Source code for ACL 2019 paper "DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction".

Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction - ACL 2019

bert nlp papers, applications and github resources ， BERT 相关论文和 github 项目

Mapping a variable-length sentence to a fixed-length vector using BERT model

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（比赛结束后完善代码）。Schema based Knowledge Extraction, SKE 2019

这是我学习一个NLP教程【2019最新AI 自然语言处理之深度机器学习顶级项目实战课程】做的笔记与代码

Python Package for OpenHowNet

NLP Common Analytical Ideas

基于远监督的中文关系抽取

A Large-Scale Few-Shot Relation Extraction Dataset

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Code for NAACL 2019 paper: Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions

Revised Version of SAT Model in "Improved Word Representation Learning with Sememes"

ChinesePersonRelationGraph, person relationship extraction based on nlp methods.中文人物关系知识图谱项目,内容包括中文人物关系图谱构建,基于知识库的数据回标,基于远程监督与bootstrapping方法的人物关系抽取,基于知识图谱的知识问答等应用。

Must-read papers on neural relation extraction (NRE)

distant supervised relation extraction models: PCNN MIL (Zeng 2015), PCNN+ATT(Lin 2016). 关系抽取

Tensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)

Piece-wise CNN for relation extraction.

The classical paper list with code about generative adversarial nets

Chinese AI & Law Challenge