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pro vyhledávání: '"Sameera Lanka"'
As neural language models approach human performance on NLP benchmark tasks, their advances are widely seen as evidence of an increasingly complex understanding of syntax. This view rests upon a hypothesis that has not yet been empirically tested: th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3b592845c866489dc37c2fbb9ca687f
Publikováno v:
NAACL-HLT
Human innovation in language, such as inventing new words, is a challenge for pretrained language models. We assess the ability of one large model, GPT-3, to process new words and decide on their meaning. We create a set of nonce words and prompt GPT
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6245e06eb7b8a28971ecba60eb357068
https://doi.org/10.18653/v1/2021.naacl-main.439
https://doi.org/10.18653/v1/2021.naacl-main.439
