Hugging Face's logo

tae898
/
emoberta-base

Text Classification
Transformers
PyTorch
English
roberta
emoberta
Inference Endpoints
Model card Files Community
1
tae898 commited on
Commit
0a4c4f4
·
1 Parent(s): 6432b49

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +4 -2
README.md CHANGED
@@ -9,10 +9,12 @@ datasets:
9
  - IEMOCAP
10
  ---
11
 
 
 
12
  # Emotion Recognition in Coversation (ERC)
13
 
14
- [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/emoberta-speaker-aware-emotion-recognition-in/emotion-recognition-in-conversation-on)](https://paperswithcode.com/sota/emotion-recognition-in-conversation-on?p=emoberta-speaker-aware-emotion-recognition-in)<br>
15
- [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/emoberta-speaker-aware-emotion-recognition-in/emotion-recognition-in-conversation-on-meld)](https://paperswithcode.com/sota/emotion-recognition-in-conversation-on-meld?p=emoberta-speaker-aware-emotion-recognition-in)<br>
16
 
17
  At the moment, we only use the text modality to correctly classify the emotion of the utterances.The experiments were carried out on two datasets (i.e. MELD and IEMOCAP)
18
 
 
9
  - IEMOCAP
10
  ---
11
 
12
+ Check https://github.com/tae898/erc for the details
13
+
14
  # Emotion Recognition in Coversation (ERC)
15
 
16
+ [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/emoberta-speaker-aware-emotion-recognition-in/emotion-recognition-in-conversation-on)](https://paperswithcode.com/sota/emotion-recognition-in-conversation-on?p=emoberta-speaker-aware-emotion-recognition-in)
17
+ [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/emoberta-speaker-aware-emotion-recognition-in/emotion-recognition-in-conversation-on-meld)](https://paperswithcode.com/sota/emotion-recognition-in-conversation-on-meld?p=emoberta-speaker-aware-emotion-recognition-in)
18
 
19
  At the moment, we only use the text modality to correctly classify the emotion of the utterances.The experiments were carried out on two datasets (i.e. MELD and IEMOCAP)
20