Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/pdf/1609.01454.pdf)
Intent prediction and slot filling are performed in two branches based on Encoder-Decoder model.
You can get data from here
Pytorch 0.2python3 train.py --data_path 'your data path e.g. ./data/atis-2.train.w-intent.iob'
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a new software framework to facilitate scalable federated learning research.
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Official repo for QHack—the quantum machine learning hackathon
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