第二份

@inproceedings{Liu+2016,
author={Bing Liu and Ian Lane},
title={Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling},
year=2016,
booktitle={Interspeech 2016},
doi={10.21437/Interspeech.2016-1352},
url={http://dx.doi.org/10.21437/Interspeech.2016-1352},
pages={685--689}
}

可视化的代码在我github下的另外一个库里 可视化attention

数据集是数据集是SMP-EUPT数据集。 直接下载 然后在代码目录里新建data 文件夹,把数据集解压进来.

├── data
│   ├── develop_app.txt
│   ├── develop_bus.txt
│   ├── develop_calc.txt
│   ├── develop_chat.txt
│   ├── develop_cinemas.txt
│   ├── develop_contacts.txt
│   ├── develop_cookbook.txt
│   ├── develop_datetime.txt
│   ├── develop_email.txt
│   ├── develop_epg.txt
│   ├── develop_flight.txt
│   ├── develop_health.txt
│   ├── develop_lottery.txt
│   ├── develop_map.txt
│   ├── develop_match.txt
│   ├── develop_message.txt
│   ├── develop_music.txt
│   ├── develop_news.txt
│   ├── develop_novel.txt
│   ├── develop_poetry.txt
│   ├── develop_radio.txt
│   ├── develop_riddle.txt
│   ├── develop_schedule.txt
│   ├── develop_stock.txt
│   ├── develop_telephone.txt
│   ├── develop_train.txt
│   ├── develop_translation.txt
│   ├── develop_tvchannel.txt
│   ├── develop_video.txt
│   ├── develop_weather.txt
│   ├── develop_website.txt
│   ├── train_app.txt
│   ├── train_bus.txt
│   ├── train_calc.txt
│   ├── train_chat.txt
│   ├── train_cinemas.txt
│   ├── train_contacts.txt
│   ├── train_cookbook.txt
│   ├── train_datetime.txt
│   ├── train_email.txt
│   ├── train_epg.txt
│   ├── train_flight.txt
│   ├── train_health.txt
│   ├── train_lottery.txt
│   ├── train_map.txt
│   ├── train_match.txt
│   ├── train_message.txt
│   ├── train_music.txt
│   ├── train_news.txt
│   ├── train_novel.txt
│   ├── train_poetry.txt
│   ├── train_radio.txt
│   ├── train_riddle.txt
│   ├── train_schedule.txt
│   ├── train_stock.txt
│   ├── train_telephone.txt
│   ├── train_train.txt
│   ├── train_translation.txt
│   ├── train_tvchannel.txt
│   ├── train_video.txt
│   ├── train_weather.txt
│   └── train_website.txt
├── data_control.py
├── data_model.py
├── main.py
├── model.py
├── monitor.py
├── online.ipynb
├── preprocessing_data
│   ├── idx2label.pkl
│   ├── idx2vec.pkl
│   ├── idx2vec.py
│   ├── idx2word.pkl
│   ├── label2idx.pkl
│   ├── label2idx.py
│   ├── w2idx_idx2w.py
│   ├── word2idx.pkl
│   ├── word2vec.pkl
│   └── word2vec.py
└── start.sh