A Dynamic Convolutional Neural Network Approach for Legal Text Classification - researchr publication authors

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Eya Hammami, Rim Faiz, Imen Akermi. A Dynamic Convolutional Neural Network Approach for Legal Text Classification. In Inès Saad, Camille Rosenthal-Sabroux, Faiez Gargouri, Pierre-Emmanuel Arduin, editors, Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making - 5th International Conference, ICIKS 2021, Virtual Event, June 22-23, 2021, Proceedings. Volume 425 of Lecture Notes in Business Information Processing, pages 71-84, Springer, 2021. [doi]

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