neural-semantic-encoders
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pdasigi
Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)
Hi. This toolkit is awesome, since it achieved better performance than tree-lstm and dynamic memory network for sentiment ananlysis. I've tried various combination of different version of keras and theano....
First of all thanks for open sourcing this. Issue is as follows: $ python3 test_nse.py Using Theano backend. Traceback (most recent call last): File "test_nse.py", line 5, in from nse...
Errors come out : ``` nse_output = nse_encoder(nse_embed_input1) TypeError Traceback (most recent call last) in () ----> 1 nse_output = nse_encoder(nse_embed_input1) # (None, 11, 50) 2 3 /usr/local/lib/python2.7/dist-packages/Keras-1.1.2-py2.7.egg/keras/engine/topology.pyc in __call__(self,...
Looks really interesting, about to start digging in and was wondering if you had run any of the benchmarks mentioned in the paper on it? Thanks -pankaj
