no code implementations • COLING (WANLP) 2020 • Chadi Helwe, Ghassan Dib, Mohsen Shamas, Shady Elbassuoni
Named entity recognition (NER) plays a significant role in many applications such as information extraction, information retrieval, question answering, and even machine translation.
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.
no code implementations • WS 2019 • Chadi Helwe, Shady Elbassuoni, Ayman Al Zaatari, Wassim El-Hajj
To overcome the lack of sufficient training data, we propose deep co-learning, a semi-supervised end-to-end deep learning approach to assess the credibility of Arabic blogs.
no code implementations • ACL 2017 • Mohammed Elrazzaz, Shady Elbassuoni, Khaled Shaban, Chadi Helwe
Many unsupervised learning techniques have been proposed to obtain meaningful representations of words from text.
no code implementations • WS 2017 • Rim El Ballouli, Wassim El-Hajj, Gh, Ahmad our, Shady Elbassuoni, Hazem Hajj, Khaled Shaban
In this paper, we perform an extensive analysis on credibility of Arabic content on Twitter.
no code implementations • COLING 2016 • R El Khatib, a, Julia El Zini, David Wrisley, Mohamad Jaber, Shady Elbassuoni
TopoText calculates the number of times a place was mentioned in the text, which is then reflected on the map allowing the end-user to grasp the importance of the different places within the text.