Comments (1)
The text embedding is borrowed from the official repo. If you want to add more words, then you will need to obtain your own embedding dictionary. You may check the paper to see how did the author obtain such embedding vectors.
from pytorch-multimodal_sarcasm_detection.
Related Issues (6)
- Image data HOT 2
- about parameter fc_dropout_rate HOT 1
- About the data set. HOT 5
- file path question HOT 3
- About five attributes HOT 3
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from pytorch-multimodal_sarcasm_detection.