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Learning word-embeddings from characters using already learned word embedding

score 789 · Answer 1 · 2017-08-27 08:12:51

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789

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Learning word-embeddings from characters using already learned word embedding

789 views Asked by ha D saadat At 27 August 2017 at 08:12

score 140 · Answer 2 · 2017-08-27 21:00:15

To create different embedding layers in keras

140 views Asked by jef At 27 August 2017 at 21:00

score 8947 · Answer 3 · 2017-09-08 21:55:58

Use LSTM tutorial code to predict next word in a sentence?

8.9k views Asked by Darren Cook At 08 September 2017 at 21:55

score 935 · Answer 4 · 2017-09-11 14:19:26

Why Word2Vec's most_similar() function is giving senseless results on training?

935 views Asked by stack At 11 September 2017 at 14:19

score 1637 · Answer 5 · 2017-09-13 15:09:18

How Word Mover's Distance (WMD) uses word2vec embedding space?

1.6k views Asked by utengr At 13 September 2017 at 15:09

score 1027 · Answer 6 · 2017-09-13 16:13:12

Word Mover's distance calculation between word pairs of two documents

1k views Asked by utengr At 13 September 2017 at 16:13

score 2399 · Answer 7 · 2017-09-16 05:26:40

Need of context while using Word2Vec

2.3k views Asked by floralmural At 16 September 2017 at 05:26

score 422 · Answer 8 · 2017-09-18 05:59:18

finetuning tensorflow seq2seq model

422 views Asked by kmario23 At 18 September 2017 at 05:59

score 5874 · Answer 9 · 2020-09-29 13:29:30

How to store Bag of Words or Embeddings in a Database

5.8k views Asked by Gheeroppa At 29 September 2020 at 13:29

score 7549 · Answer 10 · 2020-09-30 20:58:50

Fine tuning of Bert word embeddings

7.5k views Asked by Aviade At 30 September 2020 at 20:58

TechQA.

List Question

Learning word-embeddings from characters using already learned word embedding

To create different embedding layers in keras

Use LSTM tutorial code to predict next word in a sentence?

Why Word2Vec's most_similar() function is giving senseless results on training?

How Word Mover's Distance (WMD) uses word2vec embedding space?

Word Mover's distance calculation between word pairs of two documents

Need of context while using Word2Vec

finetuning tensorflow seq2seq model

How to store Bag of Words or Embeddings in a Database

Fine tuning of Bert word embeddings

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