pooled_embedding = mean([bert_embedding(varicad), bert_embedding(-), ..., bert_embedding(2022)]) pooled_embedding = [0.23, 0.41, ..., 0.57]
To get a fixed-size vector representation for the entire text, we can use a pooling technique such as mean pooling or max pooling. pooled_embedding = mean([bert_embedding(varicad)
deep_feature = [0.23, 0.41, ..., 0.57]
The final deep feature representation for the input text is: bert_embedding(2022)]) pooled_embedding = [0.23
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