An End-to-End Supervised Target-Word Sense Disambiguation System
Abstract
We present an extensible supervised Target-Word Sense Disambiguation system that leverages upon GATE (General Architecture for Text Engineering), NSP (Ngram Statistics Package) and WEKA (Waikato Envi-ronment for Knowledge Analysis) to present an end-to-end solution that integrates feature identification, fea-ture extraction, preprocessing and classification.
Cite
Text
Joshi et al. "An End-to-End Supervised Target-Word Sense Disambiguation System." AAAI Conference on Artificial Intelligence, 2006.Markdown
[Joshi et al. "An End-to-End Supervised Target-Word Sense Disambiguation System." AAAI Conference on Artificial Intelligence, 2006.](https://mlanthology.org/aaai/2006/joshi2006aaai-end/)BibTeX
@inproceedings{joshi2006aaai-end,
title = {{An End-to-End Supervised Target-Word Sense Disambiguation System}},
author = {Joshi, Mahesh and Pakhomov, Serguei V. S. and Pedersen, Ted and Maclin, Richard and Chute, Christopher G.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2006},
pages = {1941-1942},
url = {https://mlanthology.org/aaai/2006/joshi2006aaai-end/}
}