Unsupervised Word Sense Disambiguation Using Transformer’s Attention Mechanism
Unsupervised Word Sense Disambiguation Using Transformer’s Attention Mechanism
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Basel: MDPI AG
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English
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Basel: MDPI AG
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Transformer models produce advanced text representations that have been used to break through the hard challenge of natural language understanding. Using the Transformer’s attention mechanism, which acts as a language learning memory, trained on tens of billions of words, a word sense disambiguation (WSD) algorithm can now construct a more faithful...
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Unsupervised Word Sense Disambiguation Using Transformer’s Attention Mechanism
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TN_cdi_doaj_primary_oai_doaj_org_article_f5417d627b274095a4adda82c8171304
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f5417d627b274095a4adda82c8171304
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ISSN
2504-4990
E-ISSN
2504-4990
DOI
10.3390/make7010010
