arXiv:1902.05575

Fully Convolutional Networks for Text Classification

Jacob Anderson

제출 2019-02-14

원문 초록

In this work I propose a new way of using fully convolutional networks for classification while allowing for input of any size. I additionally propose two modifications on the idea of attention and the benefits and detriments of using the modifications. Finally, I show suboptimal results on the ITAmoji 2018 tweet to emoji task and provide a discussion about why that might be the case as well as a proposed fix to further improve results.

함께 살펴볼 논문

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토론

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