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项目作者： DSKSD

项目描述 ：
Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)
高级语言： Jupyter Notebook
项目地址: git://github.com/DSKSD/RNN-for-Joint-NLU.git
创建时间： 2017-08-09T09:41:20Z
项目社区：https://github.com/DSKSD/RNN-for-Joint-NLU
开源协议：
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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

  • Pytorch 0.2

Train

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

Result