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Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling

2019-09-17 | |  274 |   0 |   0

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)

jointnlu0.png

Intent prediction and slot filling are performed in two branches based on Encoder-Decoder model.

dataset (Atis)

You can get data from here

Requirements

  • Pytorch 0.2

Train

python3 train.py --data_path 'your data path e.g. ./data/atis-2.train.w-intent.iob'

Result

jointnlu1.pngjointnlu2.pngjointnlu3.png






上一篇：MobileNet

下一篇：pytorch-zssr

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