---
title: "Who cites Multi-Task Sequence Prediction — 5 citing papers"
description: "5 papers of the Elamur Research library cite «Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/gugliotta-2020-multi-task-sequence-prediction-tunisian/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Multi-Task Sequence Prediction For Tunisian…](https://md.research.elamur.ai/free/en/papers/gugliotta-2020-multi-task-sequence-prediction-tunisian/) / cited by

# Who cites «Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation»

5 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation»](https://md.research.elamur.ai/free/en/papers/gugliotta-2020-multi-task-sequence-prediction-tunisian/)

1. **[Introducing A large Tunisian Arabizi Dialectal Dataset for Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/fourati-2021-introducing-large-tunisian-arabizi-dialectal/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Chayma Fourati, Hatem Haddad, Abir Messaoudi, et al.*2021 · 14 citations*
2. **[TArC: Tunisian Arabish Corpus, First complete release](https://md.research.elamur.ai/free/en/papers/gugliotta-2022-tarc-tunisian-arabish-corpus-first/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Elisa Gugliotta, Marco Dinarelli*2022 · 8 citations*
3. **[An Empirical Analysis of Task Relations in the Multi-Task Annotation of an Arabizi Corpus](https://md.research.elamur.ai/free/en/papers/gugliotta-2023-empirical-analysis-task-relations-multi/) [Conference on Language, Data and Knowledge](https://md.research.elamur.ai/free/en/venues/ldk/)**Elisa Gugliotta, Marco Dinarelli*2023 · 1 citation*
4. **[TounsiBench: Benchmarking Large Language Models for Tunisian Arabic](https://md.research.elamur.ai/free/en/papers/hassine-2025-tounsibench-benchmarking-large-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Souha Ben Hassine, Asma Arrak, Marouene Addhoum, et al.*2025*

1 more paper of our library cites it; it has no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/gugliotta-2020-multi-task-sequence-prediction-tunisian/) — Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation