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rungjoo
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CoMPM
Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation (NAACL 2022)
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Why don't put batch_speaker_token on cuda?
#15
kkkMeng
closed
11 months ago
1
Can I ignore this warning? UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
#14
kkkMeng
closed
12 months ago
1
pytorch-cuda version for the source code?
#12
utility-aagrawal
closed
1 year ago
2
Can I use this work for sentiment analysis of dyadic conversations?
#11
utility-aagrawal
closed
8 months ago
1
Unexpected key(s) in state_dict: "context_model.embeddings.position_ids", "speaker_model.embeddings.position_ids"
#10
utility-aagrawal
closed
12 months ago
3
RoBERTa large max input token size issue
#9
jinmyeongAN
closed
1 year ago
2
UnboundLocalError: local variable 'DATA_loader' referenced before assignment
#8
Aidenfaustine
closed
1 year ago
1
reproduce your work on MELD dataset, the weight F1 score is 66.52
#6
Aidenfaustine
closed
1 year ago
2
"MELD_models/roberta-large/pretrained/no_freeze/emotion/1.0/model.bin" . It doesn't have mobel.bin file.
#5
Aidenfaustine
closed
1 year ago
2
A question about comparison experiment, why didn't you compare with CESTa on dailydialog dataset?
#4
qftie
closed
1 year ago
3
Google Drive link not found
#3
goonbamm
closed
1 year ago
3
I wonder if the model works fine when batch is not 1?
#2
qftie
closed
2 years ago
5
Possible typo in the paper
#1
OmPrasad93
closed
2 years ago
1