The Devil is in the Details: On the Pitfalls of Event Extraction
Evaluation

The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation

12 June 2023

Hao Peng

Xiaozhi Wang

Feng Yao

Lei Hou

Juanzi Li

Zhiyuan Liu

Papers citing "The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation"

8 / 8 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 43 0 0 12 Oct 2024
Detecting Machine-Generated Long-Form Content with Latent-Space Variables Yufei Tian Zeyu Pan Nanyun Peng DeLMO 23 0 0 04 Oct 2024
MAVEN-Fact: A Large-scale Event Factuality Detection Dataset Chunyang Li Hao Peng Xiaozhi Wang Y. Qi Lei Hou Bin Xu Juanzi Li HILM 30 1 0 22 Jul 2024
Harvesting Events from Multiple Sources: Towards a Cross-Document Event Extraction Paradigm Qiang Gao Zixiang Meng Bobo Li Jun Zhou Fei Li Chong Teng Donghong Ji 26 1 0 23 Jun 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 19 16 0 16 Nov 2023
Mirror: A Universal Framework for Various Information Extraction Tasks Tong Zhu Junfei Ren Zijian Yu Mengsong Wu Guoliang Zhang Xiaoye Qu Wenliang Chen Zhefeng Wang Baoxing Huai Min Zhang 22 14 0 09 Nov 2023
OneEE: A One-Stage Framework for Fast Overlapping and Nested Event Extraction H. Cao Jingye Li Fangfang Su Fei Li Hao Fei Shengqiong Wu Bobo Li Liang Zhao Donghong Ji 30 33 0 06 Sep 2022
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention Jiawei Chen Hongyu Lin Xianpei Han Le Sun 84 27 0 13 Sep 2021