Load the vectors in Spacy using: Lub word2vec qauv raug tuaj yeem txhim kholos ntawm kev siv cov ntsuas sib txawv rau kev cob qhia, qhov sib txawv corpus loj lossis txawv qauv qauv. … Piv txwv li, tus qauv tuaj yeem raug cob qhia los tsim cov vectors rau new_york, tsis yog kev cob qhia vectors rau cov tshiab thiab york.
lo lus embedding siv spaCy?
spaCy muab 300-dimensional lo lus embeddings rau ntau yam lus, uas tau kawm los ntawm lub koom haum loj. Hauv lwm lo lus, txhua lo lus hauv cov qauv lus yog sawv cev los ntawm cov npe ntawm 300 ntab taw tes tus lej - vectors - thiab cov vectors tau kos rau hauv qhov chaw 300-dimensional.
Tus qauv dab tsi spaCy siv?
spaCy v2.0'sLub Npe Lub Npe Lub Npe Kev Pom Zoo muaj cov lus zoo sib xws uas siv cov ntsiab lus subword thiab "Bloom" embeddings, sib sib zog nqus convolutional neural network nrog cov kev sib txuas seem, thiab kev hloov pauv tshiab-raws li txoj hauv kev rau lub npe hu ua parsing.
Puas spaCy siv Bert?
pob no muab spaCy qauv cov kav dej uas qhwv Hugging Face's transformers pob, yog li koj tuaj yeem siv lawv hauv spaCy. Qhov tshwm sim yog yooj yim nkag mus rau lub xeev-of-the-art transformer architectures, xws li BERT, GPT-2, XLNet, thiab lwm yam.
Puas yog word2vec obsolete?
Word2Vec thiab bag-of-words/tf-idf yog qee yam tsis siv hauv 2018 rau kev ua qauv. Rau kev faib cov dej num, fasttext (https://github.com/facebookresearch/fastText) ua tau zoo dua thiab sai dua.
