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Multi-task Learning in Deep Neural Networks at EVALITA 2018

In this paper we describe the system used for the participation to the ABSITA, GxG, HaSpeeDe and IronITA shared tasks of the EVALITA 2018 conference. We developed a classifier that can be configured to use Bidirectional Long Short Term Memories and linear Support Vector Machines as learning algorith...

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主要な著者: Cimino, Andrea, Mattei, Lorenzo De, Dell’Orletta, Felice
フォーマット: Chapter
言語:Inglês
出版事項: Accademia University Press 2018
オンライン・アクセス:https://doi.org/10.4000/books.aaccademia.4527
https://hdl.handle.net/20.500.13089/1ddh
https://books.openedition.org/aaccademia/4527
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