ML Anthology

WordNet Based Multi-Way Concept Hierarchy Construction from Text Corpus

Ding Tu, Ling Chen, Gencai Chen
AAAI 2013 pp. 1647-1648
doi:10.1609/AAAI.V27I1.8531 /aaai/2013/tu2013aaai-wordnet/

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.

PDF AAAI Semantic Scholar

Cite

Text

Tu et al. "WordNet Based Multi-Way Concept Hierarchy Construction from Text Corpus." AAAI Conference on Artificial Intelligence, 2013. doi:10.1609/AAAI.V27I1.8531

Markdown

[Tu et al. "WordNet Based Multi-Way Concept Hierarchy Construction from Text Corpus." AAAI Conference on Artificial Intelligence, 2013.](https://mlanthology.org/aaai/2013/tu2013aaai-wordnet/) doi:10.1609/AAAI.V27I1.8531

BibTeX

@inproceedings{tu2013aaai-wordnet,
  title     = {{WordNet Based Multi-Way Concept Hierarchy Construction from Text Corpus}},
  author    = {Tu, Ding and Chen, Ling and Chen, Gencai},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2013},
  pages     = {1647-1648},
  doi       = {10.1609/AAAI.V27I1.8531},
  url       = {https://mlanthology.org/aaai/2013/tu2013aaai-wordnet/}
}