Published July 23, 2019
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Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation - Model Weights - SC+WNGC, hypernyms, single
Description
This is the weights of the neural WSD model used in the article named "Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation" by Loïc Vial, Benjamin Lecouteux, Didier Schwab.
This is a single model trained on the SemCor+WNGC corpora and using the sense vocabulary compression through hypernyms described in the paper.
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model_wsd_train_sc_wngt_dev_random4000_clear_compress_bert_large_cased_transformer_2048_single.zip
Files
(876.6 MB)
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