Topic: semcor Goto Github
Some thing interesting about semcor
Some thing interesting about semcor
semcor,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
User: abhi7410
semcor,Word Sense Disambiguation using the Lesk algorithm with Word2Vec embeddings
User: hrshtv
semcor,Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow
User: sshanu
semcor,SLI mappings for SemCor dataset
User: xavier-gz
Home Page: https://github.com/xavier-gz/SLI_SemCor
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