OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event
Understanding

OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding

25 September 2023

Hao Peng

Xiaozhi Wang

Feng Yao

Juanzi Li

Papers citing "OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding"

7 / 7 papers shown

Title
Beyond Exact Match: Semantically Reassessing Event Extraction by Large Language Models Yi-Fan Lu Xian-Ling Mao Tian Lan Heyan Huang Heyan Huang Xiaoyan Gao 55 0 0 12 Oct 2024
Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering Zimu Wang Lei Xia Wei Wang Xinya Du 28 5 0 07 Oct 2024
CMNEE: A Large-Scale Document-Level Event Extraction Dataset based on Open-Source Chinese Military News Mengna Zhu Zijie Xu Kaisheng Zeng Kaiming Xiao Mao Wang Wenjun Ke Hongbin Huang 38 2 0 18 Apr 2024
Argument-Aware Approach To Event Linking I-Hung Hsu Zihan Xue Nilay Pochh Sahil Bansal Premkumar Natarajan Jayanth Srinivasa Nanyun Peng 29 0 0 22 Mar 2024
TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction Kuan-Hao Huang I-Hung Hsu Tanmay Parekh Zhiyu Xie Zixuan Zhang Premkumar Natarajan Kai-Wei Chang Nanyun Peng Heng Ji 32 16 0 16 Nov 2023
MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation Xiaozhi Wang Hao Peng Yong Guan Kaisheng Zeng Jianhui Chen ... Yankai Lin Zhiyuan Liu Ruobing Xie Jie Zhou Juanzi Li 21 4 0 15 Nov 2023
When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks Hao Peng Xiaozhi Wang Jianhui Chen Weikai Li Y. Qi ... Zhili Wu Kaisheng Zeng Bin Xu Lei Hou Juanzi Li 34 28 0 15 Nov 2023