Vivek Tyagi, Hima P. Karanam, et al.
ICPR 2012
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. © 2010 Association for Computational Linguistics.
Vivek Tyagi, Hima P. Karanam, et al.
ICPR 2012
Laura Chiticariu, Rajasekar Krishnamurthy, et al.
ACL 2010
Hironori Takeuchi, L. Venkata Subramaniam, et al.
Information Sciences
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ISWC-Posters-Demos-Industry 2018