Mengna Zhu, Zijie Xu 0003, Kaisheng Zeng, Kaiming Xiao, Mao Wang, Wenjun Ke, Hongbin Huang. CMNEE: A Large-Scale Document-Level Event Extraction Dataset Based on Open-Source Chinese Military News. In Nicoletta Calzolari, Min-Yen Kan, Véronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue, editors, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC/COLING 2024, 20-25 May, 2024, Torino, Italy. pages 3367-3379, ELRA and ICCL, 2024. [doi]
@inproceedings{Zhu0ZXWKH24,
title = {CMNEE: A Large-Scale Document-Level Event Extraction Dataset Based on Open-Source Chinese Military News},
author = {Mengna Zhu and Zijie Xu 0003 and Kaisheng Zeng and Kaiming Xiao and Mao Wang and Wenjun Ke and Hongbin Huang},
year = {2024},
url = {https://aclanthology.org/2024.lrec-main.299},
researchr = {https://researchr.org/publication/Zhu0ZXWKH24},
cites = {0},
citedby = {0},
pages = {3367-3379},
booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC/COLING 2024, 20-25 May, 2024, Torino, Italy},
editor = {Nicoletta Calzolari and Min-Yen Kan and Véronique Hoste and Alessandro Lenci and Sakriani Sakti and Nianwen Xue},
publisher = {ELRA and ICCL},
isbn = {978-2-493814-10-4},
}