Few-shot event detection: An empirical study and a unified view

• Main Authors: MA, Yubo, WANG, Zehao, CAO, Yixin, SUN, Aixin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Break down; Design elements; Detection models; Empirical studies; Events detection; Large margins; Low-resource settings; Performance; Simple++; Unified framework; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/8285; https://ink.library.smu.edu.sg/context/sis_research/article/9288/viewcontent/Few_shot_event_detection_An_empirical_study_and_a_unified_view.pdf
• Institution: Singapore Management University

Few-shot event detection (ED) has been widely studied, while this brings noticeable discrepancies, e.g., various motivations, tasks, and experimental settings, that hinder the understanding of models for future progress. This paper presents a thorough empirical study, a unified view of ED models, an...