# ComplexIntentDection

**Repository Path**: ices-e-sbot/ComplexIntentDection

## Basic Information

- **Project Name**: ComplexIntentDection
- **Description**: Model for Complex Intent Dection
- **Primary Language**: Python
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-11-08
- **Last Updated**: 2023-09-20

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Complex Intent Dection

#### Introduction
Codes and data are publicly available for the manuscript: "Conco-ERNIE: Complex User Intent Detect Model for Smart Healthcare Cognitive Bot", which is submmited to ACM Transactions on Internet Technology.

Our model (Conco-ERNIE) is implemented based on PaddleHub, please `pip install paddlehub==1.7.1` to run the model.

Our data is put into './ComplexIntentDection/Conco-ERNIE/data/'

#### Easy Use
Based on flask, we also deploy Conco-ERNIE as a web service. Please see './ComplexIntentDection/server.py' for more details. 

Run `python server.py`, you can get an api that return user's medical intent when take user's Chinese query as input. 

The guideline is shown in './ComplexIntentDection/How-to-use.ipynb'

Hope our Conco-ERNIE will be helpful for your development of Chinese medical Q&A bot.