DialogRPT-depth

system commited on
Commit 4431e67
1 Parent(s): efa4089

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +11 -8
README.md CHANGED
@@ -1,3 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
1
  # DialogRPT-depth
2
 
3
  ### Dialog Ranking Pretrained Transformers
@@ -27,14 +38,6 @@ We considered the following tasks and provided corresponding pretrained models.
27
 
28
 
29
 
30
- ### Examples:
31
- The `depth` score predicts how likely the response is getting a long follow-up discussion thread.
32
- Examples below can be reproduced with this [Colab Notebook](https://colab.research.google.com/drive/1cAtfkbhqsRsT59y3imjR1APw3MHDMkuV?usp=sharing)
33
-
34
- | Context | Response | `depth` score |
35
- | :------ | :------- | :------------: |
36
- | I love NLP! | Can anyone recommend a nice review paper? | 0.724 |
37
- | I love NLP! | Me too! | 0.032 |
38
 
39
  ### Contact:
40
  Please create an issue on [our repo](https://github.com/golsun/DialogRPT)
1
+ # Demo
2
+
3
+ Please try this [➤➤➤ Colab Notebook Demo (click me!)](https://colab.research.google.com/drive/1cAtfkbhqsRsT59y3imjR1APw3MHDMkuV?usp=sharing)
4
+
5
+ | Context | Response | `depth` score |
6
+ | :------ | :------- | :------------: |
7
+ | I love NLP! | Can anyone recommend a nice review paper? | 0.724 |
8
+ | I love NLP! | Me too! | 0.032 |
9
+
10
+ The `depth` score predicts how likely the response is getting a long follow-up discussion thread.
11
+
12
  # DialogRPT-depth
13
 
14
  ### Dialog Ranking Pretrained Transformers
38
 
39
 
40
 
 
 
 
 
 
 
 
 
41
 
42
  ### Contact:
43
  Please create an issue on [our repo](https://github.com/golsun/DialogRPT)