DocEE: A large-scale and fine-grained benchmark for document-level event extraction

• Main Authors: TONG, Meihan, XU, Bin, WANG, Shuai, HAN, Meihuan, CAO, Yixin, ZHU, Jiangqi, CHEN, Siyu, HOU, Lei, LI, Juanzi
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/7471; https://ink.library.smu.edu.sg/context/sis_research/article/8474/viewcontent/2022.naacl_main.291.pdf
• Institution: Singapore Management University

Event extraction aims to identify an event and then extract the arguments participating in the event. Despite the great success in sentencelevel event extraction, events are more naturally presented in the form of documents, with event arguments scattered in multiple sentences. However, a major barr...