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ml-recall

#max-over-time-pooling

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Question 1: Short answer

mediumAI-checkedNLP Tasks

A textCNN classifier runs 1-D convolutions over the word embeddings of a sentence: 100 filters of width 3, 100 of width 4 and 100 of width 5. Each filter's output sequence is reduced by max-over-time pooling, and the results are concatenated. How long is the resulting feature vector for a 20-word sentence?

a whole number