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In code both cnn embedding dim and individual lstm outputs dim are 512.
The paper says it would compute a task specific weighting of all biLM layers.
The biLM layers embedding is concatenation of [foreward-lstm, backward-lstm] , so the dim should be 1024.
So how to compute a weighting between biLM layers embedding(1024) and cnn embedding(512)? How to add them with different dim
The text was updated successfully, but these errors were encountered:
In code both cnn embedding dim and individual lstm outputs dim are 512.
The paper says it would compute a task specific weighting of all biLM layers.
The biLM layers embedding is concatenation of [foreward-lstm, backward-lstm] , so the dim should be 1024.
So how to compute a weighting between biLM layers embedding(1024) and cnn embedding(512)? How to add them with different dim
The text was updated successfully, but these errors were encountered: