KrokYin/open-entity-relation-extraction

Chinese Open Entity Relation Extraction

Extraction Example

"**国家主席***访问韩国，并在首尔大学发表演讲"

We can extract knowledge triples from the sentence as follows:

(**, 国家主席, ***)
(***, 访问, 韩国)
(***, 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
|-- resource  # dictionaries dirctory
|-- requirements.txt  # dependent python libraries
|-- README.md  # project description

Development environment

Ubuntu 16.04
Python 3.6

Install Dependent libraries

pip install -r requirements.txt

Entry procedure

cd ./code/demo/
python extract_demo.py

Main Implementation Content

Paper Cite

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.

KrokYin / open-entity-relation-extraction