Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/lemonhu/open-entity-relation-extraction

Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.
https://github.com/lemonhu/open-entity-relation-extraction

entity-relation information-extraction knowledge-base knowledge-extraction open-domain paper-implementations python3 relation-extraction

Last synced: 6 days ago
JSON representation

Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.

Awesome Lists containing this project

README

        

# open-entity-relation-extraction

Knowledge triples extraction (entities and relations extraction) and knowledge base construction based on dependency syntax for open domain text.

基于依存句法分析,实现面向开放域文本的知识三元组抽取(实体和关系抽取)及知识库构建。

Welcome to watch, star or fork.

## Example

> "中国国家主席习近平访问韩国,并在首尔大学发表演讲"

We can extract knowledge triples from the sentence as follows:

- (中国, 国家主席, 习近平)
- (习近平, 访问, 韩国)
- (习近平, 发表演讲, 首尔大学)

## Project Structure

```
knowledge_extraction/
|-- code/ # code directory
| |-- bean/
| |-- core/
| |-- demo/ # procedure entry
| |-- tool/
|-- data/ # data directory
| |-- input_text.txt # input text file
| |-- knowledge_triple.json # output knowledge triples file
|-- model/ # ltp models, can be downloaded from http://ltp.ai/download.html, select ltp_data_v3.4.0.zip
|-- resource # dictionaries dirctory
|-- requirements.txt # dependent python libraries
|-- README.md # project description
```

## Requirements

This repo was tested on Python 3.5+. The requirements are:

- jieba>=0.39
- pyltp>=0.2.1

## Quickstart

```shell
cd ./code/demo/
python extract_demo.py
```

## Seven DSNF paradigms

![DSNF](./img/DSNF.png)

## References

If you use the code, please kindly cite the following paper:

Jia S, Li M, Xiang Y. Chinese Open Relation Extraction and Knowledge Base Establishment[J]. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 2018, 17(3): 15.