Word Sense Disambiguation with Spreading Activation Networks Generated from Thesauri
Abstract
Most word sense disambiguation (WSD) methods require large quantities of manually annotated training data and/or do not exploit fully the semantic relations of thesauri. We propose a new unsupervised WSD algorithm, which is based on generating Spreading Activation Networks (SANs) from the senses of a thesaurus and the relations between them. A new method of assigning weights to the networks' links is also proposed. Experiments show that the algorithm outperforms previous unsupervised approaches to WSD.
Cite
Text
Tsatsaronis et al. "Word Sense Disambiguation with Spreading Activation Networks Generated from Thesauri." International Joint Conference on Artificial Intelligence, 2007.Markdown
[Tsatsaronis et al. "Word Sense Disambiguation with Spreading Activation Networks Generated from Thesauri." International Joint Conference on Artificial Intelligence, 2007.](https://mlanthology.org/ijcai/2007/tsatsaronis2007ijcai-word/)BibTeX
@inproceedings{tsatsaronis2007ijcai-word,
title = {{Word Sense Disambiguation with Spreading Activation Networks Generated from Thesauri}},
author = {Tsatsaronis, George and Vazirgiannis, Michalis and Androutsopoulos, Ion},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2007},
pages = {1725-1730},
url = {https://mlanthology.org/ijcai/2007/tsatsaronis2007ijcai-word/}
}