no code implementations • ACL (GeBNLP) 2021 • Jad Doughman, Wael Khreich, Maya El Gharib, Maha Wiss, Zahraa Berjawi
Gender inequality represents a considerable loss of human potential and perpetuates a culture of violence, higher gender wage gaps, and a lack of representation of women in higher and leadership positions.
no code implementations • 16 Jun 2024 • Jad Doughman, Osama Mohammed Afzal, Hawau Olamide Toyin, Shady Shehata, Preslav Nakov, Zeerak Talat
We find that classifiers are highly sensitive to stylistic changes and differences in text complexity, and in some cases degrade entirely to random classifiers.
1 code implementation • 20 Feb 2024 • Fajri Koto, Haonan Li, Sara Shatnawi, Jad Doughman, Abdelrahman Boda Sadallah, Aisha Alraeesi, Khalid Almubarak, Zaid Alyafeai, Neha Sengupta, Shady Shehata, Nizar Habash, Preslav Nakov, Timothy Baldwin
The focus of language model evaluation has transitioned towards reasoning and knowledge-intensive tasks, driven by advancements in pretraining large models.
1 code implementation • 21 Jan 2022 • Jad Doughman, Wael Khreich
Language has a profound impact on our thoughts, perceptions, and conceptions of gender roles.
1 code implementation • EACL (WANLP) 2021 • Muhammad Abdul-Mageed, Shady Elbassuoni, Jad Doughman, AbdelRahim Elmadany, El Moatez Billah Nagoudi, Yorgo Zoughby, Ahmad Shaher, Iskander Gaba, Ahmed Helal, Mohammed El-Razzaz
We describe DiaLex, a benchmark for intrinsic evaluation of dialectal Arabic word embedding.
1 code implementation • LREC 2020 • Jad Doughman, Fatima Abu Salem, Shady Elbassuoni
Word embeddings have proven to be an effective method for capturing semantic relations among distinct terms within a large corpus.