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how about the size of feature map?
hello kim. I have an issue about the size of feature map when reading your paper. In your paper, you had used two filters with windows size in 2 and 3. And the representation matrix size of sentence is 9 x K. As a general convolution operate, the size of feature map equals to 9-2+1=8 (with the small filter) while the size in your paper is 7. So can you give some details?
If your data is embedded and labels are available, you can use the following repository: https://github.com/ms-unlimit/Transformer-Based-Machine-Learning-Framework