MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction

Xiaozhi Wang, Yulin Chen, Ning Ding 0002, Hao Peng, Zimu Wang, Yankai Lin, Xu Han 0007, Lei Hou 0001, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou. MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction. In Yoav Goldberg, Zornitsa Kozareva, Yue Zhang, editors, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11. pages 926-941, Association for Computational Linguistics, 2022. [doi]

@inproceedings{WangC0PWL00LLLZ22,
  title = {MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction},
  author = {Xiaozhi Wang and Yulin Chen and Ning Ding 0002 and Hao Peng and Zimu Wang and Yankai Lin and Xu Han 0007 and Lei Hou 0001 and Juanzi Li and Zhiyuan Liu and Peng Li and Jie Zhou},
  year = {2022},
  url = {https://aclanthology.org/2022.emnlp-main.60},
  researchr = {https://researchr.org/publication/WangC0PWL00LLLZ22},
  cites = {0},
  citedby = {0},
  pages = {926-941},
  booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11},
  editor = {Yoav Goldberg and Zornitsa Kozareva and Yue Zhang},
  publisher = {Association for Computational Linguistics},
}