clause
Clause
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Chatopera Semantic Understanding Service/Chaopera Language Understanding Service
Clause helps chatbot developers and developers quickly and cheaply obtain open source semantic understanding systems.
Clause is independently developed by the Chatopera team and implemented using other business-friendly open source software. Clause provides a powerful brain for implementing chatbots, including customer service, intelligent question and answer, and automated process services. Clause uses deep learning, natural language processing and search engine technology to make machines understand people better.
Clause can be used to quickly implement chatbot services and complete data collection and data processing through natural language human-computer interaction.
Supports multi-robot management, each robot can create multiple intents (Intent)
Custom dictionary (CustomDict), supports word list form and regular expression form
Customize Intent, Slot and Utterance
Out-of-the-box system dictionary (names of people, places, organization names, time, etc.)
Support chatbot debugging branch and online branch
Support session cycle management
The server is a microservice, implemented in C++; the client uses RPC protocol connection for integration, and supports multiple language SDKs.
The server can be clustered to support large-scale and high-concurrency access.
Clause's server is written in C++ and published as a Docker image; the client integration interface provided supports multiple languages, including Java, Python, Node.js, etc. Please refer to the following content to learn more.
Use Python to quickly implement a question and answer robot (link)
Purchase a certificate on the product page of the Chatopera certificate store:
Order address: https://store.chatopera.com/product/clause001
Get the certificate identification on the certificate details page of the Chatopera certificate store. The certificate ID is a string, such as: FOO123 .
The download address of the file is:
https://store.chatopera.com/dl/`${LICENSE_ID}`.gz
Replace ${LICENSE_ID} with your certificate ID. Assume that the certificate identification obtained in the previous step is: FOO123 , then the URL download address is:
https://store.chatopera.com/dl/FOO123.gz
wget --no-check-certificate https://store.chatopera.com/dl/FOO123.gz -O clause001.tar.gz
tar xzfv clause001.tar.gz # 进行解压
./activemq.docker.5143.tgz # 解压得到的文件
./clause.docker.c24ffc1.tgz # 解压得到的文件
./intent.docker.c24ffc1.tgz # 解压得到的文件
./mysql.docker.57.tgz # 解压得到的文件
./README.md # 解压得到的文件
./redis.docker.505.tgz # 解压得到的文件
./sysdicts.docker.c24ffc1.tgz # 解压得到的文件
The downloaded file is a compressed package in the format of tar.gz The file can be opened using popular decompression tools such as 7zip or WinRAR .
In addition to using wget to download, you can also open the URL through the browser to download.
Copy the above script to the official project address.
After obtaining each of the above *.tgz files, execute the command in the command line terminal:
docker load < ./activemq.docker.5143.tgz
docker load < ./clause.docker.c24ffc1.tgz
docker load < ./intent.docker.c24ffc1.tgz
docker load < ./mysql.docker.57.tgz
docker load < ./redis.docker.505.tgz
docker load < ./sysdicts.docker.c24ffc1.tgz
After execution, the image file is loaded into docker images .
Use the command to verify, execute docker images , and make sure it appears:
clause/clause:develop
clause/intent:develop
clause/sysdicts:develop
chatopera/activemq:5.14.3
chatopera/mysql:5.7
chatopera/redis:5.0.5
Use documentation:
Clause is also a basic module of Chatopera cloud service.
https://bot.chatopera.com/
Chatopera cloud service is a one-stop cloud service for implementing chat robots, and is billed based on the number of interface calls. Chatopera Cloud Service is a software-as-a-service instance of the Chatopera bot platform. Based on cloud computing, Chatopera cloud service is a chatbot-as-a-service cloud service.
The Chatopera robot platform includes components such as knowledge base, multi-round dialogue, intent recognition and speech recognition, standardized chat robot development, and supports scenarios such as enterprise OA intelligent Q&A, HR intelligent Q&A, intelligent customer service and online marketing. Enterprise IT departments and business departments use Chatopera cloud services to quickly bring chatbots online!
Custom dictionary
Custom terms
Create intent
Add arguments and slots
Training model
test conversation
Robot portrait
System integration
Chat history
Use now
| time | Activity | Link | duration | Overview |
|---|---|---|---|---|
| 2019-12-14 | Microsoft AI Bootscamp(2019) | Playback | 40mins | Basic usage introduction + support for regular expression dictionary |
| 2019-11-03 | COSCon '2019 China Open Source Annual Conference | Playback, PPT【Extraction code: 25ni】 | 40mins | Basic usage introduction + support for reading files to train robots |
| 2019-09-26 | CSDN Academy Live: Deep Learning Intelligent Question and Answer Robot Practical Combat | Playback | 60mins | Basic usage introduction |
Please do not send sensitive information to other users who are part of the Chatopera customer base. Discuss matters related to Chatopera products and services
Open Source China: Semantic Understanding System Clause
I love natural language processing: Clause, an open source semantic understanding service
An introductory guide to machine learning & natural language processing. This book is co-authored by the author Clause.
Quick book purchase link 
"Intelligent Question Answering and Deep Learning" This book is for students and software engineers who are preparing to get started with machine learning and natural language processing. It introduces many principles and algorithms in theory, and also provides many example programs to increase practicality. They are summarized in the sample program code library. These programs are mainly to help everyone understand the principles and algorithms. You are welcome to download and execute them. The address of the code base is:
https://github.com/l11x0m7/book-of-qna-code
Copyright (2019-2020) Beijing Huaxia Chunsong Technology Co., Ltd.
Apache License Version 2.0
