1. QA Bot
IAD Richard . S
Your Date Here

2. Last time we talked about…
• sentence tokenization (jieba).
• words to vector.
• TFIDF + Cosine Similar.
• LSI / LDA Model.
Recap: https://github.com/shihxuancheng/ai_exercise

3. What to enhance ??
Improve the accuracy or just make it
in action?

4. Your Footer Here
Flow of a basic ChatBot

5. Flow of our QA Bot

6. • Integration
• Setting instead of Coding
• Easy to maintain & training
DIY? Okay! but how to do?Open Source? Cloud Solution?

7. Microsoft QnA Maker
NO CODE EXPERIENCE
AUTOMATIC EXTRACTION
ACTIVE LEARNING
MULTI-TURN CONVERSATIONS
MORE THAN 50 LANGUAGES
Build, train and publish a sophisticated bot using FAQ pages, support websites,
product manuals, SharePoint documents or editorial content through an easy-to-
use UI or via REST APIs.
https://qnamaker.ai/

8. Wanhai QA Bot – Overview

9. Wanhai_QABot
Demo Site: https://bot.dialogflow.com/79fd253e-20c4-4668-b9fa-5899734e921b
Source: https://github.com/shihxuancheng/qa_bot

10. NLU
Natural - Language Understanding

11. • Rule-Based
• Intent-Based (Dialogflow / LUIS/ LEX)
• Flow-Based (wit.ai)
Types of NLU

12. Intents & Entities
Intent (意圖):
使用者想做的事情 (e.g 查產品、下訂單)，動詞
Entitiy (關鍵字):
參數或術語 (e.g 產品名稱、種類或數量)，名詞

13. Intents & Entities
你好，我想要 杯 ， ， 自取一 水果茶 少冰 微甜 下午4:00
Intent: 買飲料
Entities:
@數量 : 一杯
@品項: 水果茶
@冰塊: 少冰
@甜度: 微甜
@時間: 16:00

14. On any Platform
Across devices
Around the world
Use machine learning to
understand what users
are saying

16. Wanhai Service Bot – Overview

17. Wanhai_ServiceBot
Demo Site: https://bot.dialogflow.com/c9ec5993-56b7-4d15-9c4a-9f36023d3ec2
Source: https://github.com/shihxuancheng/qa_bot

18. Tech Note on HackMD.io
https://hackmd.io/@richard-shih/BJfe2-qtS

19. Thank You!
Any questions?