Automatic Identification of Basic-Level Categories
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 addi...
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| Main Authors: | , , |
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| 其他作者: | |
| 格式: | Conference or Workshop Item |
| 語言: | English |
| 出版: |
2018
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| 主題: | |
| 在線閱讀: | 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 |
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| 機構: | Nanyang Technological University |
| 語言: | English |