In an LSTM, assume the forget gate output Ft = 0.7, previous cell state Ct−1 = 0.9,

In vector semantics, the meaning of a word can change based on context. If the word "bark" is represented in two different contexts—one with "tree" and another with "dog"—what does this imply about the vector representation?

During forward propagation in an RNN, the output at time step t is heavily influenced by

If two words, "car" and "automobile," have high cosine similarity in their vector representations, what does this imply about their meanings?

In a word embedding model, if the vector for "king" is represented as ( V_{king} ) and the vector for "queen" is ( V_{queen} ), which of the following operations would most likely yield a vector close to "woman"?

Which of the following forms of gradient descent updates the weight after computing the gradient over the entire dataset ?

Given a sentence with k tokens, how many n-grams with frequency greater than zero can be obtained from the sentence where n is an arbitrary natural number ?