results of rnnslu.py not as expected

[wendysalonika]

Hi,
I'm running your code rnnslu.py for ATIS (the the 5 folds of data you provide us with)
(DeepLearningTutorials/code/rnnslu.py)

I expected to get F1=94.98% as mentioned in the paper:
'Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding'
(table 3: Elman/Single,context(9))

Instead, the best performance with this code is F1=94.058% for cont_win=9 and emb_dim=100.
Is that what I'm suppose to get?

Thank you in advance!

[nouiz]

I supose you found your answer.

On Wed, Mar 2, 2016 at 5:58 AM, wendysalonika notifications@github.com
wrote:

Closed #144 #144
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