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New posts in word-embedding

Why use cosine similarity in Word2Vec when its trained using dot-product similarity

nlp word2vec cosine-similarity word-embedding dot-product

What is the difference between keras.tokenize.text_to_sequences and word embeddings

keras tensorflow2.0 tokenize word-embedding tensorflow2.x

Download pre-trained BERT model locally

python-3.x word-embedding

Bigram to a vector

nlp word2vec word-embedding

What should be the word vectors of token <pad>, <unknown>, <go>, <EOS> before sent into RNN?

nlp deep-learning word2vec word-embedding

How to evaluate Word2Vec model

python nlp word2vec embedding word-embedding

What is the difference between Sentence Encodings and Contextualized Word Embeddings?

nlp word-embedding elmo bert-language-model

NLP Transformers: Best way to get a fixed sentence embedding-vector shape?

machine-learning deep-learning nlp pytorch word-embedding

Mapping word vector to the most similar/closest word using spaCy

nlp spacy word2vec word-embedding

How to find the closest word to a vector using BERT

nlp word-embedding bert-language-model

How to load embeddings (in tsv file) generated from StarSpace

gensim word-embedding

BERT document embedding

python-3.x embedding word-embedding bert-language-model

How to use Keras Embedding layer when there are more than 1 text features

keras word2vec word-embedding

How to build an embedding layer in Tensorflow RNN?

python tensorflow rnn word-embedding

How to use pretrained Word2Vec model in Tensorflow

python tensorflow gensim word2vec word-embedding

How to make the tensorflow hub embeddings servable using tensorflow serving?

tensorflow tensorflow-serving word-embedding

How to encode multiple sentences using transformers.BertTokenizer?

word-embedding huggingface-transformers huggingface-tokenizers

Gensim Word2Vec select minor set of word vectors from pretrained model

python keras word2vec gensim word-embedding

How to treat numbers inside text strings when vectorizing words?

tensorflow nlp word2vec word-embedding

How to save fasttext model in vec format?

python word-embedding fasttext
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