Comparison of Generality Based Algorithm Variants for Automatic Taxonomy Generation
We compare a family of algorithms for the automatic generation of taxonomies by adapting the Heymannalgorithm in various ways. The core algorithm determines the generality of terms and iteratively inserts them in a growing taxonomy. Variants of the algorithm are created by altering the way and the f...
| Main Authors: | , , , |
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| Language: | en_US |
| Published: |
Cambridge, MA; Alfred P. Sloan School of Management, Massachusetts Institute of Technology
2011
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| Online Access: | http://hdl.handle.net/1721.1/66564 |