Automatically Generating Term Frequency Induced Taxonomies

We propose a novel method to automatically acquire a term-frequency-based taxonomy from a corpus using an unsupervised method. A term-frequency-based taxonomy is useful for application domains where the frequency with which terms occur on their own and in combination with other terms imposes a natural term hierarchy. We highlight an application for our approach and demonstrate its effectiveness and robustness in extracting knowledge from real-world data.

• Type: Journal
• Year: 2010
• Where: ACL
• Authors: Karin Murthy, Tanveer A. Faruquie, L. Venkata Subramaniam, Hima Prasad K, Mukesh K. Mohania
• Keywords: ACL 2010, Computational Linguistics, Natural Term Hierarchy, Term-frequency-based Taxonomy, Unsupervised Method