Comments (2)
As I recall, in the IEMOCAP dataset, there are cases that exceed the max length, so old tokens that make it over the max length will be discarded.
Please refer to the following code.
https://github.com/rungjoo/CoMPM/blob/master/utils.py#L76
https://github.com/rungjoo/CoMPM/blob/master/utils.py#L16
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I understood! Thank you for your answering :)
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Related Issues (13)
- Possible typo in the paper HOT 1
- I wonder if the model works fine when batch is not 1? HOT 5
- Google Drive link not found HOT 3
- A question about comparison experiment, why didn't you compare with CESTa on dailydialog dataset? HOT 3
- "MELD_models/roberta-large/pretrained/no_freeze/emotion/1.0/model.bin" . It doesn't have mobel.bin file. HOT 2
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- UnboundLocalError: local variable 'DATA_loader' referenced before assignment HOT 1
- Unexpected key(s) in state_dict: "context_model.embeddings.position_ids", "speaker_model.embeddings.position_ids" HOT 3
- Can I use this work for sentiment analysis of dyadic conversations? HOT 1
- pytorch-cuda version for the source code? HOT 2
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- Why don't put batch_speaker_token on cuda? HOT 1
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