Automatic Identification of Basic-Level Categories

• Main Authors: Mills, Chad, Bond, Francis, Levow, Gina-Anne
• Other Authors: School of Humanities and Social Sciences
• Format: Conference or Workshop Item
• Language: English
• Published: 2018
• Subjects: Basic-level Categories; WordNet
• Online Access: https://hdl.handle.net/10356/88492; http://hdl.handle.net/10220/44917; http://compling.hss.ntu.edu.sg/events/2018-gwc/pdfs/GWC2018_paper_5.pdf
• Institution: Nanyang Technological University

Basic-level categories have been shown to be both psychologically significant and useful in a wide range of practical applications. We build a rule-based system to identify basic-level categories in WordNet, achieving 77% accuracy on a test set derived from prior psychological experiments. With additional annotations we found our system also has low precision, in part due to the existence of many categories that do not fit into the three classes (superordinate, basic-level, and subordinate) relied on in basiclevel category research.