Selective annotation via data allocation: These data should be triaged to experts for annotation rather than the model

• Main Authors: HUANG, Chen, DENG, Yang, LEI, Wenqiang, LV, Jiancheng, DAGAN, Ido
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Data annotation; Selective annotation framework; SANT; Triage-based annotation; Artificial Intelligence and Robotics; Computer Sciences
• Online Access: https://ink.library.smu.edu.sg/sis_research/9615; https://ink.library.smu.edu.sg/context/sis_research/article/10615/viewcontent/2405.12081v2.pdf
• Institution: Singapore Management University

To obtain high-quality annotations under limited budget, semi-automatic annotation methods are commonly used, where a portion of the data is annotated by experts and a model is then trained to complete the annotations for the remaining data. However, these methods mainly focus on selecting informati...