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danielbis
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word2sense
LSTM for creating contextualized word2vec vectors, trained for minimizing the distance between synonyms on WordNet tagged corpus
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#2
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danielbis
closed
5 years ago
danielbis
commented
5 years ago
given ontonotes sense return list embeddings corresponding to related words
Approach: temp = tf.nn.emmbedding_loopup(on2related, sense_ids) --> tf.nn.emmbedding_loopup(EMBEDDINGS, temp)
danielbis
commented
5 years ago
solved