RNN-for-Joint-NLU
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Published
20 hours ago •
DSKSD
DSKSD
Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)
RNN-for-Joint-NLU
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.
dataset (Atis)
You can get data from here
Requirements
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Pytorch 0.2
Train
python3 train.py --data_path 'your data path e.g. ./data/atis-2.train.w-intent.iob'
Result
DSKSD