This program svm_wsd implements a machine learning Word Sense Disambiguation system based on Support Vector Machines. We use a bag-of-words model for representing the features. It has been implemented in python, so a valid installation of python is required, at least version 2.6.
https://github.com/cltl/svm_wsd
This module was developed at VU University Amsterdam.
- Project: DutchSemCor
- Project number: 380-70-011
- Funded by the Dutch National Science Foundation (NWO).
- website: http://www2.let.vu.nl/oz/cltl/dutchsemcor/index.html
- Start date: September, 2009
- End date: August, 2012
- Software: svm_wsd
- Version: 1.0
- Author: Ruben Izquierdo, VU University of Amsterdam
- Email: ruben.izquierdobevia@vu.nl