is the problem in natural language processing of identifying the sense or meaning of a word when that word has multiple meanings.
Given a single word such as "table", I want to identify what it is most commonly used as, whether its …
python nlp wordnet word-sense-disambiguationdef RNN(X, weights, biases): X = tf.reshape(X, [-1, n_inputs]) X_in = tf.matmul(X, weights['in']) + biases[…
python tensorflow deep-learning lstm word-sense-disambiguation