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In this, I have created, trained and evaluated a WSD system using the SENSEVAL corpus based on the vector space model (VSM).

Python 54.90% C 45.10%
sense-disambiguation-wsd nlp-machine-learning python-2 nltk-library scikit-learn

word-sense-disambiguation-wsd-system's Introduction

Word-Sense-Disambiguation-WSD-system

In this, we have created, trained and evaluated a WSD system using the SENSEVAL corpus based on the vector space model (VSD).

performance/accuracy of the model

precision and recall of the word sense disambiguation (WSD) system for the following :

for the Catalan language... https://cloud.githubusercontent.com/assets/9404205/20703161/ba55a246-b640-11e6-84d8-0948b84e2031.PNG

for the English language... https://cloud.githubusercontent.com/assets/9404205/20703186/d1dfe20a-b640-11e6-82ae-d1624dffda43.PNG

for the Spanish language... https://cloud.githubusercontent.com/assets/9404205/20703201/e0bebc1a-b640-11e6-8c00-ded62dec518b.PNG

overall performance of KNN model and SVM model on different languages... https://cloud.githubusercontent.com/assets/9404205/20703146/ab68f76a-b640-11e6-9416-f51339f636d6.PNG

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