Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/88492
Title: Automatic Identification of Basic-Level Categories
Authors: Mills, Chad
Bond, Francis
Levow, Gina-Anne
Keywords: Basic-level Categories
WordNet
Issue Date: 2018
Source: Mills, C., Bond, F., Levow, G.-A. (2018). Automatic Identification of Basic-Level Categories. The 9th Global WordNet Conference (GWC 2018).
Abstract: 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.
URI: https://hdl.handle.net/10356/88492
http://hdl.handle.net/10220/44917
Rights: © 2018 The author(s). This is the author created version of a work that has been peer reviewed and accepted for publication by The 9th Global WordNet Conference (GWC 2018). It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The full-text is available at: [http://compling.hss.ntu.edu.sg/events/2018-gwc/pdfs/GWC2018_paper_5.pdf].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:HSS Conference Papers

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