Multi-View Clustering for Open Knowledge Base Canonicalization

Source code and data sets for the SIGKDD 2022 paper: Multi-View Clustering for Open Knowledge Base Canonicalization

Dependencies

• Compatible with Python 3.7
• Dependencies can be installed using requirements.txt
• Please download the init_dict folder from this webpage: https://drive.google.com/file/d/1PNMSO5ud5UuArU9vrtwTvBzECn4Pfudr/view?usp=sharing
• Please download the crawl-300d-2M.vec.zip from https://fasttext.cc/docs/en/english-vectors.html into init_dict.

Data sets

• Please download the ReVerb45K and OPIEC59K data sets from this webpage:  https://drive.google.com/file/d/1vetosoVBf89-It1cD671AfiP0ZrcBz-P/view?usp=sharing

• Please download the NYTimes2018 data set from the webpage of its original authors:  https://heathersherry.github.io/ICDE2019_data.html

Usage

Run the main code:

• python CMVC_main_reverb45k.py
• python CMVC_main_NYT.py
• python CMVC_main_opiec.py

Contact

Yang Yang (y2@mail.nankai.edu.cn)

Citation

Please cite the following paper if you use this code in your work.

@inproceedings{shen2022multi,
  title={Multi-View Clustering for Open Knowledge Base Canonicalization},
  author={Shen, Wei and Yang, Yang and Liu, Yinan},
  booktitle={Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  pages={1578--1588},
  year={2022}
}

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