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Conference papers
Text Deconvolution Saliency (TDS) : a deep tool box for linguistic analysis
Abstract : In this paper, we propose a new strategy , called Text Deconvolution Saliency (TDS), to visualize linguistic information detected by a CNN for text classification. We extend Deconvolution Networks to text in order to present a new perspective on text analysis to the linguistic community. We empirically demonstrated the efficiency of our Text Decon-volution Saliency on corpora from three different languages: English, French, and Latin. For every tested dataset, our Text Deconvolution Saliency automatically encodes complex linguistic patterns based on co-occurrences and possibly on grammatical and syntax analysis.
Cited literature [16 references]
https://hal.archives-ouvertes.fr/hal-01804310
Contributor : Laurent Vanni <>
Submitted on : Thursday, May 31, 2018 - 3:56:34 PM
Last modification on : Tuesday, May 26, 2020 - 6:50:57 PM
Document(s) archivé(s) le : Saturday, September 1, 2018 - 2:42:20 PM
Contributor : Laurent Vanni <>
Submitted on : Thursday, May 31, 2018 - 3:56:34 PM
Last modification on : Tuesday, May 26, 2020 - 6:50:57 PM
Document(s) archivé(s) le : Saturday, September 1, 2018 - 2:42:20 PM
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acl2018.pdf
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