lp832ut/zpwiki
1
0
Fork 0
forked from KEMT/zpwiki
Code Issues Pull Requests Releases Wiki Activity

Update 'pages/topics/question/README.md'

Browse Source
This commit is contained in:
dano 2021-06-17 08:29:02 +00:00
parent 7854930bd6
commit 0e3e1c4ab7
1 changed files with 10 additions and 10 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

20
pages/topics/question/README.md
View File

@ -188,24 +188,24 @@ Week 1: Intro
- Read [SQuAD: 100,000+ Questions for Machine Comprehension of Text](https://arxiv.org/abs/1606.05250) - Read [SQuAD: 100,000+ Questions for Machine Comprehension of Text](https://arxiv.org/abs/1606.05250)
- Read [Know What You Don't Know: Unanswerable Questions for SQuAD](https://arxiv.org/abs/1806.03822) - Read [Know What You Don't Know: Unanswerable Questions for SQuAD](https://arxiv.org/abs/1806.03822)
Week 2 and 3: Web Application Output:
- Analyze sql schema of Prodigy annotations - Short report
- Find out who annotated what.
- Make a web application that displays results.
- Extend the application to analyze more Prodigy instances (for both question and answer annotations)
- Improve the process of annotation.
Output: Web application (in Node.js or Python) and Dockerfile Week 2-4 The System
Week 4-7 The model
Select and train a working question answering system Select and train a working question answering system
Output: Output:
- a deployment script with comments for a selected question answering system - a deployment script with comments for a selected question answering system
- a working training recipe (can use English data), a script with comments or Jupyter Notebook
Week 5-7 The Model
Take a working training recipe (can use English data), a script with comments or Jupyter Notebook
Output:
- a trained model - a trained model
- evaluation of the model (if possible) - evaluation of the model (if possible)