Intent Classification Baseline
中文语音助手意图识别基线系统，外部专有名词知识、训练模型和预测样本的流程。
By W. Y. Shen
PROJECT：https://github.com/GhibliField/Intent-Classification-Baseline-System
USE
DOWNLOAD PROJECT
git clone https://github.com/GhibliField/Intent-Classification-Baseline-System.git
DEPENDENCIES
pip install -r requirements.txt
EXAMPLE
RUN SERVER：
python ServerDemo.py
TEST：
python test.py
PROJECT STRUCTURE
FILES
├── config.py
├── data
│ ├── devel.json
│ └── train.json
├── models
│ ├── ltp_data_v3.4.0/
│ ├── some.pkl
│ └── ...
├── README.md
├── RequestHandler.py
├── requirements.txt
├── ServerDemo.py
├── test.py
├── trainers
│ ├── classifiers.py
│ ├── NB-SVM_with_chi2.ipynb
│ ├── SVM_epg-tvchannel.ipynb
│ ├── SVM_video-cinemas.ipynb
│ ├── SVM_video-epg.ipynb
│ ├── SVM_video-music.ipynb
│ └── SVM_website-app.ipynb
└── utils
├── predicates.tsv
├── pretty_sure.tsv
├── proper_noun/
├── proper_noun_all.tsv
├── rules.tsv
├── stopword_2792.txt
└── utils.py
MAIN COMPONENTS
- data: 训练数据
- model: 持久化了的分类模型与必要的对象
- trainer: notebook脚本,用于训练不同的分类器
- utils: 外部词库,方法等
- config.py: 配置路径参数, 请务必修改路径
- RequestHandler.py: 测试流程
- ServerDemo.py: Flask 测试服务端
- test.py: 测试脚本