Hao Peng, Xiaozhi Wang, Feng Yao, Zimu Wang, Chuzhao Zhu, Kaisheng Zeng, Lei Hou, Juanzi Li. OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding. In Yansong Feng, Els Lefever, editors, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023 - System Demonstrations, Singapore, December 6-10, 2023. pages 508-517, Association for Computational Linguistics, 2023. [doi]
@inproceedings{PengWYWZZHL23,
title = {OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding},
author = {Hao Peng and Xiaozhi Wang and Feng Yao and Zimu Wang and Chuzhao Zhu and Kaisheng Zeng and Lei Hou and Juanzi Li},
year = {2023},
url = {https://aclanthology.org/2023.emnlp-demo.46},
researchr = {https://researchr.org/publication/PengWYWZZHL23},
cites = {0},
citedby = {0},
pages = {508-517},
booktitle = {Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023 - System Demonstrations, Singapore, December 6-10, 2023},
editor = {Yansong Feng and Els Lefever},
publisher = {Association for Computational Linguistics},
}