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Home/e-Resources/Artificial Intelligence & Machine Learning/MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction
Conference ProceedingsArtificial Intelligence & Machine Learning

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

Xiaozhi Wang·Yulin Chen·Ning Ding·Hao Ming Peng·Zimu Wang·Yankai Lin·Xu Han·Lei Hou·Juanzi Li·Zhiyuan Liu·Peng Li·Jie Zhou
Conference on Empirical Methods in Natural Language Processing (EMNLP)2022

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Abstract & Overview

Xiaozhi Wang, Yulin Chen, Ning Ding, Hao Peng, Zimu Wang, Yankai Lin, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022.

Cite this record

Xiaozhi Wang, Yulin Chen, Ning Ding, Hao Ming Peng, Zimu Wang, Yankai Lin, et al. (2022). MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction. Conference on Empirical Methods in Natural Language Processing (EMNLP). https://doi.org/10.18653/v1/2022.emnlp-main.60

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Wang, X., Chen, Y., Ding, N., Peng, H. M., Wang, Z., Lin, Y., Han, X., Hou, L., Li, J., Liu, Z., Li, P., & Zhou, J. (2022). MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction. Conference on Empirical Methods in Natural Language Processing (EMNLP). https://doi.org/10.18653/v1/2022.emnlp-main.60
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