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The repository for ACL 2023 paper "Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations", and SemEval@ACL 2023 paper "UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment Analysis"

License: MIT License

Python 94.33% Shell 5.67%
emotion-recognition representation-learning sentiment-analysis

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hudou95 avatar zerohd4869 avatar

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sacl's Issues

Code please

I really enjoyed reading your papers. I can't wait to reproduce the code!

Code

Hello, when will your code be available? Thanks.

The settings of hyperparameters for training

Hello! I would like to know if I need to modify some hyperparameter values if I want to train a new model by removing the contrastive learning part. My paper is related to your project, so I would really appreciate it if you could answer this question!

code!!!!!!

Woooonderfull. I can't wait to read the code!

Hello! I have a few questions for you about the code:

您好!针对代码我有几个问题想要请教您:
1.关于CAT的处理,主要体现在代码的那个部分呢?
2.如果想要更换特征处理器,emb—names应该依据什么内容进行修改呢?
如果您能不吝赐教,我将万分感激!
Hello! I have a few questions for you about the code:

  1. What part of the code does CAT processing mainly reflect?
  2. If you want to change the signature processor, what should EMB-names change based on?
    I would appreciate it very much if you could give me your advice.

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