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pro vyhledávání: '"Seelawi, Haitham"'
Hate speech detection models are typically evaluated on held-out test sets. However, this risks painting an incomplete and potentially misleading picture of model performance because of increasingly well-documented systematic gaps and biases in hate
Externí odkaz:
http://arxiv.org/abs/2206.09917
Autor:
Talafha, Bashar, Ali, Mohammad, Za'ter, Muhy Eddin, Seelawi, Haitham, Tuffaha, Ibraheem, Samir, Mostafa, Farhan, Wael, Al-Natsheh, Hussein T.
Arabic dialect identification is a complex problem for a number of inherent properties of the language itself. In this paper, we present the experiments conducted, and the models developed by our competing team, Mawdoo3 AI, along the way to achieving
Externí odkaz:
http://arxiv.org/abs/2007.05612
Question semantic similarity is a challenging and active research problem that is very useful in many NLP applications, such as detecting duplicate questions in community question answering platforms such as Quora. Arabic is considered to be an under
Externí odkaz:
http://arxiv.org/abs/1909.09490
Question semantic similarity (Q2Q) is a challenging task that is very useful in many NLP applications, such as detecting duplicate questions and question answering systems. In this paper, we present the results and findings of the shared task (Semant
Externí odkaz:
http://arxiv.org/abs/1909.09691