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awesome-causality-data

A data index for learning causality.

awesome-knowledge-graph

整理知识图谱相关学习资料

codes_for_articles

conve

Convolutional 2D Knowledge Graph Embeddings resources

eventtriplesextraction

An experiment and demo-level tool for text information extraction (event-triples extraction), which can be a route to the event chain and topic graph, 基于依存句法与语义角色标注的事件三元组抽取，可用于文本理解如文档主题链，事件线等应用。

keqa_wsdm19

Knowledge Graph Embedding Based Question Answering

knowledge-aware-reader

PyTorch implementation of the ACL 2019 paper "Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader"

knowledge-graph-learning

A curated list of awesome knowledge graph tutorials, projects and communities.

lightnlp

基于Pytorch和torchtext的自然语言处理深度学习框架，包含序列标注、文本分类、句子关系、文本生成、结构分析、五大功能模块，已实现了命名实体识别、中文分词、词性标注、语义角色标注、情感分析、关系抽取、语言模型、文本相似度、文本蕴含、依存句法分析、词向量训练、聊天机器人、机器翻译、文本摘要等功能。框架功能丰富，开箱可用，极易上手！基本都是学习他人实现然后自己修改融合到框架中，没有细致调参，且有不少Bug～

literale

Knowledge Graph Embeddings learned from the structure and literals of knowledge graphs

literaturedl4graph

news-classification

openke

An Open-Source Package for Knowledge Embedding (KE)

prone

Source code and dataset for IJCAI 2019 paper "ProNE: Fast and Scalable Network Representation Learning"

pyhanlp

自然语言处理工具包HanLP的Python接口

sentencesentimentclassifier

Sentiment Classifier base on traditional Maching learning methods, eg Bayes, SVM ,DecisionTree, KNN and Deeplearning method like MLP,CNN,RNN(LSTM). 基于机器学习与深度学习方法的情感分析算法实现与对比，包括决策树，贝叶斯，KNN, SVM ,MLP, CNN, LSTM实现

table-fact-checking

Data and Code for Paper "TabFact: A Large-scale Dataset for Table-based Fact Verification"

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.