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git

Source code for ACL-IJCNLP 2021 Long paper: Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker.

gitchat_dl

gnn4nlp-papers

A list of recent papers about Graph Neural Network methods applied in NLP areas.

golden-horse

Named Entity Recognition for Chinese social media (Weibo). From EMNLP 2015 paper.

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph4cner

Source code for the paper "Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network"

graph4nlp

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP

graphie

graphlstm_release

Implementation of TACL 2017 paper: Cross-Sentence N-ary Relation Extraction with Graph LSTMs. Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova and Wen-tau Yih.

grit_doc_event_entity

hatt-proto

Code and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification

hgnn

Hypergraph Neural Networks (AAAI 2019)

hierarchical-attention-networks-pytorch

Hierarchical Attention Networks for document classification

hmm_ner_organization

使用HMM模型实现的机构名实体识别

hype

Implementation of Knowledge Hypergraphs: Prediction Beyond Binary Relations

hypergat

Implementation of EMNLP2020 -- Be More with Less: Hypergraph Attention Networks for Inductive Text Classification

hypergraph-and-graph-neural-network-hgnn-gnn--

Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecular biology, pattern recognition, and data mining, can be represented in terms of graphs. In this paper ,a new neural network model has propose which called graph neural network (GNN)

ie-bert-cnn

一个关于百度2019语言与智能技术竞赛信息抽取 (http://lic2019.ccf.org.cn/kg) 模型, 模型采用BERT+CNN。DEMO地址 https://github.com/Wangpeiyi9979/InformationExtractionDemo

ie-survey

北航大数据高精尖中心张日崇研究团队对信息抽取领域的调研。包括实体识别，关系抽取，属性抽取等子任务，每类子任务分别对学术界和工业界进行调研。

information-extraction-chinese

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

interview

2021秋招 计算机视觉算法岗面经整理——包含实习和校招等 内推整理

interview-notes

包含机器学习、深度学习、图像处理、c++等视觉算法岗面试必备基础知识

introduction-nlp

HanLP作者的新书《自然语言处理入门》详细笔记！业界良心之作，书中不是枯燥无味的公式罗列，而是用白话阐述的通俗易懂的算法模型。从基本概念出发，逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。

javaguide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

jd_nlp

《贪心学院-京东nlp》项目实战，学习笔记。

jieba

结巴中文分词

jmee

This is the code for our EMNLP 2018 paper "Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation"

jointee-nn

kbqa_at4bert

基于知识库的问答系统。其中使用带注意力机制的对抗迁移学习做中文命名实体识别，使用BERT模型做句子相似度分析。

kdd-20-hypergraph

Code, datasets & supplementary for "Structural Patterns and Generative Models of Real-world Hypergraphs"