WordNet Based Multi-Way Concept Hierarchy Construction  from Text Corpus

Ding Tu; Ling Chen; Gencai Chen

doi:10.1609/aaai.v27i1.8531

WordNet Based Multi-Way Concept Hierarchy Construction from Text Corpus

Authors

Ding Tu Zhejiang University
Ling Chen Zhejiang University
Gencai Chen Zhejiang University

DOI:

https://doi.org/10.1609/aaai.v27i1.8531

Abstract

In this paper, we propose an approach to build a multi-way concept hierarchy from a text corpus, which is based on WordNet and multi-way hierarchical clustering. In addition, a new evaluation metric is presented, and our approach is compared with 4 kinds of existing methods on the Amazon Customer Review data set.

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Published

2013-06-29

How to Cite

Tu, D., Chen, L., & Chen, G. (2013). WordNet Based Multi-Way Concept Hierarchy Construction from Text Corpus. Proceedings of the AAAI Conference on Artificial Intelligence, 27(1), 1647-1648. https://doi.org/10.1609/aaai.v27i1.8531