You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
By taking a closer look into the related repository folder for approaches, aimed at emotion causes extraction, I noticed it majorly exposes application of:
Recurrent NN approaches
Encoder-based Transformers (BERT) including spans predictions
However there is a gap in decoder based transformers, and application of instruction tuned models in particular
With that, and to fill this gap, I can recommend embedding the following and personally tested approach based on transformers and Flan-T5:
reacted with thumbs up emoji reacted with thumbs down emoji reacted with laugh emoji reacted with hooray emoji reacted with confused emoji reacted with heart emoji reacted with rocket emoji reacted with eyes emoji
-
By taking a closer look into the related repository folder for approaches, aimed at emotion causes extraction, I noticed it majorly exposes application of:
Recurrent NN approaches
Encoder-based Transformers (BERT) including spans predictions
However there is a gap in decoder based transformers, and application of instruction tuned models in particular
With that, and to fill this gap, I can recommend embedding the following and personally tested approach based on transformers and Flan-T5:
⭐https://github.com/nicolay-r/THOR-ECAC
That is a part of the following studies:
https://arxiv.org/abs/2404.03361
With the repository ⭐ above there are several Google colabs for quick launching
Beta Was this translation helpful? Give feedback.
All reactions