sentence length and padding about cnn_sentence

[yoonkim]

it's because we do SGD with mini-batches, and each mini-batch has sentences of varying lengths. one could sort/group the batches based on sentence length and then there would be no need to pad (as is often done in NMT).

[stephenhky]

A carry-on question: if the sentence length allowed n is greater than the real length of a sentence, what would the vector be for the remaining vectors? Are they set to zero? Or given random values to the vector elements?

[HYY0508]

Traceback (most recent call last):
File "conv_net_sentence.py", line 311, in
datasets = make_idx_data_cv(revs, word_idx_map, i, max_l=56,k=300, filter_h=5)
File "conv_net_sentence.py", line 283, in make_idx_data_cv
train = np.array(train,dtype="int")
ValueError: setting an array element with a sequence.
follow your code,I meet a quesion,Is that the same reason you're talking about?

[moses9591]

You should change this line train = np.array(train,dtype="int") as following:
train = np.array(train,dtype="object")