Search Results for author:
Found 2 papers, 0 papers with code
From text saliency to linguistic objects: learning linguistic interpretable markers with a multi-channels convolutional architecture
A lot of effort is currently made to provide methods to analyze and understand deep neural network impressive performances for tasks such as image or text classification.
Textual Deconvolution Saliency (TDS) : a deep tool box for linguistic analysis
In this paper, we propose a new strategy, called Text Deconvolution Saliency (TDS), to visualize linguistic information detected by a CNN for text classification.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
