Reinforced-Mnemonic-Reader
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possible typo?
# fusion
hh = tf.concat([h, h_B, h * h_B, h - h_B], axis=-1)
x = tf.nn.relu(conv1d(uv, filters, 1, name='Wr')) # (jim sha) should be hh?
g = tf.nn.sigmoid(conv1d(hh, filters, 1, name='Wg'))
@shawei3000 thanks for your correction
let me know if performance increases. with elmo, has potential to reach 84+ (FM)
@ewrfcas Wow, did you write this model according to the paper by yourself? Or you are the author?
@woshiyyya It is not a official version. I find that the earlier version of the paper can achieve better performance in the pytorch implement. Maybe I will verify the earlier version recently.
Error: [E050] Can't find model 'en'. It doesn't seem to be a shortcut link, a Python package or a valid path to a data directory. preprocess.ipny
@doris-he , this problem maybe caused by missing the spacy language package?