ASER: A Large-scale Eventuality Knowledge Graph

ASER (activities, states, events, and their relations), a large-scale eventuality knowledge graph extracted from more than 11-billion-token unstructured textual data. ASER contains 15 relation types belonging to five categories (Temporal, Contingency, Comparison, Expansion, and Co-Occurrence), 194-million unique eventualities, and 64-million unique edges among them.

Some APIs are provided, please check the Jupyter Notebook ASER.ipynb.

Project and data homepage is https://hkust-knowcomp.github.io/ASER.

Here is the arxiv link.

Citation:

@inproceedings{ASER2020,
  author    = {Hongming Zhang and Xin Liu and Haojie Pan and Yangqiu Song and Cane Wing-Ki Leung},
  title     = {ASER: A Large-scale Eventuality Knowledge Graph},
  booktitle = {Proceedings of the Web Conference ({WWW})},
  year      = {2020}
}
or 
@article{ASER2019,
  author    = {Hongming Zhang and Xin Liu and Haojie Pan and Yangqiu Song and Cane Wing-Ki Leung},
  title     = {ASER: A Large-scale Eventuality Knowledge Graph},
  journal   = {CoRR},
  volume    = {abs/1905.00270},
  year      = {2019},
  url       = {https://arxiv.org/abs/1905.00270}
}

The latest preprint is on https://arxiv.org/abs/1905.00270.