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Implementation of the paper "Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network" in AAAI-2020.
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aghmn's Introduction
Hi, this is Wenxiang Jiao.
Iโm working on machine translation, multilingual pretraining, and large language models.
Reach me if you are interested.
๐ซ: [email protected]
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aghmn's Issues
Hi. I tried the code but it just couldn't import the module "Utils". How should I fix it? Thank you.
Hello, thanks for doing interesting research.
The picture above is the result of reproducing the MELD dataset performance through UniF-BiAGRU.
Of the results, is 57.77 the value that should be compared with the paper's F1 score?
Hi, is the running environment of your code CPU or GPU?
And could you tell me the running order of these files if I want to run your code?
Thank you very much!
Hi wxjiao
Thanks your research .
I have a question .
I read "Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network" paper
How does paper resule acc. value calculate ?
I guess model resule's recall value equal paper's Acc value . Is this Right ?
Hello there! I am new to AI models, and I have completed training of your model. How can I use it now to tell the emotions in a realtime chat?
Hello, I'm sorry to bother you again.
Can you tell me the meaning of setting GPU to 0 in exec_emo_2.sh file?
Thank you very much!
Hi,
Could u plz provide the steps to run this code?
Many thanks in advance!
Hello, I want to use this model to do emotion recognition in conversation on the Korean dataset.
If I use word embeddings pre-trained in Korean, can I apply the Korean dataset to this model?
Hello, first of all, thank you for releasing interesting research.
I would like to use the AGHMN model, can you tell me how to use it?
I want to know what commands to write to bash in a format similar to the readme of your other repo, HiGRUs.