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Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification
In this work, we propose to use recurrent neural ordinary differential equations (RNODE) for social media post classification which consider the time of posting and allow the computation of hidden representation to evolve in a time-sensitive continuous manner.
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