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Joint intent identification/slot filling using finetuned BERT in PyTorch

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Dataset

A pickled form of raw ATIS data can be downloaded from here. This raw data can be converted to parallel data via scripts/conv_pkl_to_parallel.py.

Train and Inference

In order to train a model, run make train. In order to run inference on the test set, run make test.

In order to start afresh and remove all intermediate files, run make clean.

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Joint intent identification/slot filling using finetuned BERT in PyTorch

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