word embeddings | Stats Help

In the context of word vectors what is bias?

bias word-embeddings word2vec
Updated June 14, 2019 10:19 AM

Current SOTA techniques to handle word variations (plurals, verb conjugations, hyphens, etc.) in NLP?

Is Keras Embedding layer dependend on target label?

How does the last (softmax) layer work in the skipgram model?

word-embeddings word2vec
Updated June 05, 2019 16:19 PM

Extremely low F1 score but about 0.5 accuracy

How to apply the diffusion maps when the matrix is PSD but not positivity preserving?

Spectral embedding: interpretation of new dimensions

How exactly keras layer works? embedding, lstm and dense

Improve the accuracy of semantic text matching

What is the intuition behind the positional cosine encoding in the transformer network?

Should I normalize word2vec's word vectors before using them?

Creating a zero element in embedding space

neural-networks word-embeddings
Updated May 08, 2019 20:19 PM

Word2Vec: Why use input embeddings instead of output embeddings in the skip-gram model?

word-embeddings word2vec
Updated May 04, 2019 14:19 PM

Does it make sense to multiply two embedding vectors?

Efficiently normalize word embeddings

How good are VAE at producing embeddings?

Attention weights for identifying influence

Text generation: Word embedding (vector) prediction instead of softmax probabilities?

Corrupted ngrams for training sentiment-specific word embedding

Visualising sentence vectors by averaging word vectors

word embeddings : Stats Help