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        <title>Textual Deconvolution Saliency (TDS) : a deep tool box for linguistic analysis</title>
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        <namePart type="given">Melanie</namePart>
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    <name type="personal">
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            <namePart type="given">Yusuke</namePart>
            <namePart type="family">Miyao</namePart>
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    <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 Deconvolution 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.</abstract>
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%0 Conference Proceedings
%T Textual Deconvolution Saliency (TDS) : a deep tool box for linguistic analysis
%A Vanni, Laurent
%A Ducoffe, Melanie
%A Aguilar, Carlos
%A Precioso, Frederic
%A Mayaffre, Damon
%Y Gurevych, Iryna
%Y Miyao, Yusuke
%S Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F vanni-etal-2018-textual
%X 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 Deconvolution 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.
%R 10.18653/v1/P18-1051
%U https://aclanthology.org/P18-1051
%U https://doi.org/10.18653/v1/P18-1051
%P 548-557

Markdown (Informal)

[Textual Deconvolution Saliency (TDS) : a deep tool box for linguistic analysis](https://aclanthology.org/P18-1051) (Vanni et al., ACL 2018)

• Textual Deconvolution Saliency (TDS) : a deep tool box for linguistic analysis (Vanni et al., ACL 2018)

ACL

• Laurent Vanni, Melanie Ducoffe, Carlos Aguilar, Frederic Precioso, and Damon Mayaffre. 2018. Textual Deconvolution Saliency (TDS) : a deep tool box for linguistic analysis. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 548–557, Melbourne, Australia. Association for Computational Linguistics.