For questions about word embedding, a language modelling technique in natural language processing.
tf.nn.embedding_lookup(params, ids, partition_strategy='mod', name=None) I cannot understand the duty of this function. Is …
python tensorflow deep-learning word-embedding natural-language-processingI have checked the PyTorch tutorial and questions similar to this one on Stackoverflow. I get confused; does the embedding …
pytorch word-embeddingIn this page, it is said that: [...] skip-gram inverts contexts and targets, and tries to predict each context word from …
nlp tensorflow deep-learning word2vec word-embeddingI have downloaded the data with wget !wget http://nlp.stanford.edu/data/glove.6B.zip - ‘glove.6B.zip’ …
python google-colaboratory word-embeddingI want to understand what is meant by "dimensionality" in word embeddings. When I embed a word in the form …
nlp terminology dimensionality-reduction word-embeddingIs it possible to use Google BERT for calculating similarity between two textual documents? As I understand BERT's input is …
python text scikit-learn nlp word-embeddingFor ElMo, FastText and Word2Vec, I'm averaging the word embeddings within a sentence and using HDBSCAN/KMeans clustering to …
python nlp artificial-intelligence word-embedding bert-language-modelI am trying to learn the word representation of the imdb dataset "from scratch" through the TensorFlow tf.nn.embedding_…
python python-2.7 machine-learning tensorflow word-embeddingSo I'm trying to build a word embedding model but I keep getting this error. During training, the accuracy does …
python tensorflow keras reshape word-embeddingI am working on a recurrent language model. To learn word embeddings that can be used to initialize my language …
python word2vec gensim word-embedding language-model