no code implementations • 27 Feb 2024 • Maram Hasanain, Fatema Ahmed, Firoj Alam
Finally, we evaluate GPT-4 on a dataset consisting of six other languages for span detection, and results suggest that the model struggles with the task across languages.
no code implementations • 16 Nov 2023 • Maram Hasanain, Fatema Ahmed, Firoj Alam
Moreover, our work is the first to show the potential of utilizing LLMs to develop annotated datasets for this specific task, prompting it with annotations from human annotators with limited expertise.
no code implementations • 6 Nov 2023 • Maram Hasanain, Firoj Alam, Hamdy Mubarak, Samir Abdaljalil, Wajdi Zaghouani, Preslav Nakov, Giovanni Da San Martino, Abed Alhakim Freihat
We present an overview of the ArAIEval shared task, organized as part of the first ArabicNLP 2023 conference co-located with EMNLP 2023.
1 code implementation • 9 Aug 2023 • Fahim Dalvi, Maram Hasanain, Sabri Boughorbel, Basel Mousi, Samir Abdaljalil, Nizi Nazar, Ahmed Abdelali, Shammur Absar Chowdhury, Hamdy Mubarak, Ahmed Ali, Majd Hawasly, Nadir Durrani, Firoj Alam
In this study, we introduce the LLMeBench framework, which can be seamlessly customized to evaluate LLMs for any NLP task, regardless of language.
no code implementations • 24 May 2023 • Ahmed Abdelali, Hamdy Mubarak, Shammur Absar Chowdhury, Maram Hasanain, Basel Mousi, Sabri Boughorbel, Yassine El Kheir, Daniel Izham, Fahim Dalvi, Majd Hawasly, Nizi Nazar, Yousseif Elshahawy, Ahmed Ali, Nadir Durrani, Natasa Milic-Frayling, Firoj Alam
Our findings provide valuable insights into the applicability of LLMs for Arabic NLP and speech processing tasks.
no code implementations • 5 May 2023 • Maram Hasanain, Ahmed Oumar El-Shangiti, Rabindra Nath Nandi, Preslav Nakov, Firoj Alam
This paper describes our participating system to this task.
no code implementations • 9 Nov 2022 • Maram Hasanain, Tamer Elsayed
Our results show that for some language pairs, zero-shot cross-lingual transfer is possible and can perform as good as monolingual models that are trained on the target language.
no code implementations • 25 Sep 2021 • Tamer Elsayed, Preslav Nakov, Alberto Barrón-Cedeño, Maram Hasanain, Reem Suwaileh, Giovanni Da San Martino, Pepa Atanasova
We present an overview of the second edition of the CheckThat!
no code implementations • 23 Sep 2021 • Preslav Nakov, Giovanni Da San Martino, Tamer Elsayed, Alberto Barrón-Cedeño, Rubén Míguez, Shaden Shaar, Firoj Alam, Fatima Haouari, Maram Hasanain, Watheq Mansour, Bayan Hamdan, Zien Sheikh Ali, Nikolay Babulkov, Alex Nikolov, Gautam Kishore Shahi, Julia Maria Struß, Thomas Mandl, Mucahid Kutlu, Yavuz Selim Kartal
We describe the fourth edition of the CheckThat!
no code implementations • 13 Mar 2021 • Preslav Nakov, David Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino
The reporting and the analysis of current events around the globe has expanded from professional, editor-lead journalism all the way to citizen journalism.
no code implementations • EACL (WANLP) 2021 • Fatima Haouari, Maram Hasanain, Reem Suwaileh, Tamer Elsayed
In this paper we introduce ArCOV19-Rumors, an Arabic COVID-19 Twitter dataset for misinformation detection composed of tweets containing claims from 27th January till the end of April 2020.
3 code implementations • 15 Jul 2020 • Alberto Barron-Cedeno, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari, Nikolay Babulkov, Bayan Hamdan, Alex Nikolov, Shaden Shaar, Zien Sheikh Ali
The first four tasks compose the full pipeline of claim verification in social media: Task 1 on check-worthiness estimation, Task 2 on retrieving previously fact-checked claims, Task 3 on evidence retrieval, and Task 4 on claim verification.
1 code implementation • EACL (WANLP) 2021 • Fatima Haouari, Maram Hasanain, Reem Suwaileh, Tamer Elsayed
In this paper, we present ArCOV-19, an Arabic COVID-19 Twitter dataset that spans one year, covering the period from 27th of January 2020 till 31st of January 2021.
3 code implementations • 21 Jan 2020 • Alberto Barron-Cedeno, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari
Finally, the lab offers a fifth task that asks to predict the check-worthiness of the claims made in English political debates and speeches.
no code implementations • SEMEVAL 2017 • Marwan Torki, Maram Hasanain, Tamer Elsayed
In this paper we describe our QU-BIGIR system for the Arabic subtask D of the SemEval 2017 Task 3.