Automatic Thesaurus Construction Based on Grammatical Relations
Abstract
We propose a method to build thesauri on the basis of grammatical relations The proposed method constructs thesaun by using a hierarchical clustering algorithm An important point in this paper is the claim that thesauri in order to be efficient need to take (surface) case information into account We refer to the thesauri as ' relation-based thesaurus (RBT) " In the experiment four RBTs of Japanese nouns were constructed from 26,023 verb-noun cooccurrences, and each RBT was evaluated fry objective criteria The experiment has shown that the RBTs have better properties for selectional restriction of case frames than conventional ones 1
Cite
Text
Tokunaga et al. "Automatic Thesaurus Construction Based on Grammatical Relations." International Joint Conference on Artificial Intelligence, 1995.Markdown
[Tokunaga et al. "Automatic Thesaurus Construction Based on Grammatical Relations." International Joint Conference on Artificial Intelligence, 1995.](https://mlanthology.org/ijcai/1995/tokunaga1995ijcai-automatic/)BibTeX
@inproceedings{tokunaga1995ijcai-automatic,
title = {{Automatic Thesaurus Construction Based on Grammatical Relations}},
author = {Tokunaga, Takenobu and Iwayama, Makoto and Tanaka, Hozumi},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1995},
pages = {1308-1313},
url = {https://mlanthology.org/ijcai/1995/tokunaga1995ijcai-automatic/}
}