Tag word-embeddings - Это страница 2 - GeneraCodice

Construct word2vec (CBOW) training data from beginning of sentence

https://www.generacodice.com/ru/articolo/2687209/construct-word2vec-cbow-training-data-from-beginning-of-sentence
  nlp  -  neural-network  -  text-mining  -  word-embeddings  -  word2vec
datascience.stackexchange datascience.stackexchange

Why is the cosine distance used to measure the similatiry between word embeddings?

https://www.generacodice.com/ru/articolo/2686915/why-is-the-cosine-distance-used-to-measure-the-similatiry-between-word-embeddings
  distance  -  word-embeddings  -  cosine-distance
datascience.stackexchange datascience.stackexchange

Can we use sentence transformers to embed sentences without labels?

https://www.generacodice.com/ru/articolo/2685450/can-we-use-sentence-transformers-to-embed-sentences-without-labels
  nlp  -  word-embeddings  -  bert
datascience.stackexchange datascience.stackexchange

How should I use BERT embeddings for clustering (as opposed to fine-tuning BERT model for a supervised task)

https://www.generacodice.com/ru/articolo/2684830/how-should-i-use-bert-embeddings-for-clustering-as-opposed-to-fine-tuning-bert-model-for-a-supervised-task
  nlp  -  machine-learning  -  deep-learning  -  word-embeddings  -  bert
datascience.stackexchange datascience.stackexchange

Is adding the embedded words of a sentence to represent the sentence a good approach?

https://www.generacodice.com/ru/articolo/2684472/is-adding-the-embedded-words-of-a-sentence-to-represent-the-sentence-a-good-approach
  word-embeddings  -  word2vec  -  natural-language-process
datascience.stackexchange datascience.stackexchange

best approach to embed random length sequences of words as a fixed size vector without having a maximum length? [closed]

https://www.generacodice.com/ru/articolo/2684325/best-approach-to-embed-random-length-sequences-of-words-as-a-fixed-size-vector-without-having-a-maximum-length-closed
  word-embeddings  -  rnn  -  word2vec  -  natural-language-process
datascience.stackexchange datascience.stackexchange

Should I keep common stop-words when preprocessing for word embedding?

https://www.generacodice.com/ru/articolo/2683542/should-i-keep-common-stop-words-when-preprocessing-for-word-embedding
  word-embeddings  -  word2vec  -  natural-language-process
datascience.stackexchange datascience.stackexchange

How to work with different Encoding for Foreign Languages

https://www.generacodice.com/ru/articolo/2680673/how-to-work-with-different-encoding-for-foreign-languages
  encoding  -  nlp  -  gensim  -  word-embeddings
datascience.stackexchange datascience.stackexchange

Embedding of list of objects

https://www.generacodice.com/ru/articolo/2679996/embedding-of-list-of-objects
  representation  -  word-embeddings  -  word2vec  -  embeddings
datascience.stackexchange datascience.stackexchange

What information does output of [SEP] token captures in BERT?

https://www.generacodice.com/ru/articolo/2671242/what-information-does-output-of-sep-token-captures-in-bert
  nlp  -  word-embeddings  -  bert
datascience.stackexchange datascience.stackexchange
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