12 citations · 38 across the 18 of their papers we have counts for
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Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation
Elisa Gugliotta, Marco Dinarelli, Olivier Kraif
In this paper we propose a multi-task sequence prediction system, based on recurrent neural networks and used to annotate on multiple levels an Arabizi Tunisian corpus. The annotat…
TArC: Incrementally and Semi-Automatically Collecting a Tunisian Arabish Corpus
Elisa Gugliotta, Marco Dinarelli
This article describes the constitution process of the first morpho-syntactically annotated Tunisian Arabish Corpus (TArC). Arabish, also known as Arabizi, is a spontaneous coding…
A Data Efficient End-To-End Spoken Language Understanding Architecture
Marco Dinarelli, Nikita Kapoor, Bassam Jabaian +1
End-to-end architectures have been recently proposed for spoken language understanding (SLU) and semantic parsing. Based on a large amount of data, those models learn jointly acous…