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Do word embeddings help with out of vocab tokens?

nlp word-embeddings missing-data text embeddings

answered 5 hours ago Erwan 416

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0

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14

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How to utilize dictionary data set for text classification?

classification nlp word2vec word-embeddings text

asked 20 hours ago Ananthakrishnan M A 1

1

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0

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21

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Embedding dimension size for a custom Word2Vec?

nlp word2vec

modified yesterday desertnaut 223

6

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3

answers

51

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How to use a one-hot encoded nominal feature in a classifier in Scikit Learn?

machine-learning scikit-learn nlp pandas

answered yesterday Ben Reiniger 1,063

1

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2

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24

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Does it make sense to concatenate datasets to improve accuracy of model?

nlp dataset

answered yesterday Adhira Deogade 36

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0

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24

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Text classifiaction for large datasets using Transfer learning

nlp pytorch transfer-learning bert

modified yesterday Kriti Dutta 1

2

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0

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24

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How to add a CNN layer on top of BERT?

nlp cnn pytorch transfer-learning bert

asked 2 days ago dev 11

0

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0

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12

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How to decode text output in autoencoders?

machine-learning python deep-learning nlp autoencoder

modified 2 days ago Kristada673 186

0

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0

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9

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NLP text one-hot encoding with mapping dataset

nlp word-embeddings

asked 2 days ago Ken Kim 6

1

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1

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27

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Is it possible to use Word2vec for text paraphrasing?

nlp word2vec text-generation

modified Jun 22 at 19:01 Community♦ 1

3

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2

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37

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What is the difference between and Embedding Layer and an Autoencoder?

nlp word2vec word-embeddings dimensionality-reduction embeddings

answered Jun 22 at 18:36 Ismael EL ATIFI 167

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2

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885

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Entity Recognition in Stanford NLP using Python

python nlp stanford-nlp

modified Jun 21 at 23:58 Stephen Rauch♦ 1,543

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2

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23

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I have a word2vec embedding - now what?

neural-network keras nlp word2vec

answered Jun 21 at 12:20 Emil 1

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12

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Linking LDA topics to the input documents

nlp topic-model lda gensim

modified Jun 21 at 12:10 Emil 1

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Do word embeddings help with out of vocab tokens?

How to utilize dictionary data set for text classification?

Embedding dimension size for a custom Word2Vec?

How to use a one-hot encoded nominal feature in a classifier in Scikit Learn?

Does it make sense to concatenate datasets to improve accuracy of model?

Text classifiaction for large datasets using Transfer learning

How to add a CNN layer on top of BERT?

How to decode text output in autoencoders?

NLP text one-hot encoding with mapping dataset

Is it possible to use Word2vec for text paraphrasing?

What is the difference between and Embedding Layer and an Autoencoder?

Entity Recognition in Stanford NLP using Python

I have a word2vec embedding - now what?

Linking LDA topics to the input documents

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