semcor
There are 4 repositories under semcor topic.
Sshanu/Hierarchical-Word-Sense-Disambiguation-using-WordNet-Senses
Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow
Abhi7410/Word-Sense-Disambiguation
The repository contains the implementation of four baseline models for Word Sense Disambiguation, including Lesk, Naive Bayes, K-Nearest Neighbors, and BiLSTM. Additionally, a BERT-based model has been included for comparison. The models have been trained on the SemCor dataset and evaluated on the Senseval and SemEval datasets
xavier-gz/SLI_SemCor
SLI mappings for SemCor dataset
hrshtv/WSD-Word2Vec-Lesk
Word Sense Disambiguation using the Lesk algorithm with Word2Vec embeddings