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pro vyhledávání: '"Melikidze, Davit"'
This research proposes a novel approach to the Word Sense Disambiguation (WSD) task in the Georgian language, based on supervised fine-tuning of a pre-trained Large Language Model (LLM) on a dataset formed by filtering the Georgian Common Crawls corp
Externí odkaz:
http://arxiv.org/abs/2405.00710
Autor:
Roberts, Ian, Shakur-Still, Haleema, Afolabi, Adefemi, Akere, Adegboyega, Arribas, Monica, Austin, Emma, Bal, Kiran, Bazeer, Nuha, Beaumont, Danielle, Brenner, Amy, Carrington, Laura, Chaudhri, Rizwana, Coats, Timothy, Gilmore, Ian, Halligan, Kenneth, Hussain, Irshad, Jairath, Vipul, Javaid, Kiran, Kayani, Aasia, Lisman, Ton
Publikováno v:
Health Technology Assessment; 10/19/2021, Vol. 25 Issue 58, pvii-86, 88p