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spoken-language-understanding

this repository is implementation of SLU using LSTM and word embedding on ATIS dataset

load.py can be used to load and understand structure of data

if dataset is not present first time the fold requested is downloaded and saved into data folder, subsequent loading just opens the downloaded file

inverse mapping is done to print the sentences and corresponding labekls ans lists

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