• A novel approach for handedness detection from off-line handwriting using fuzzy conceptual reduction 

      Al-Maadeed, Somaya; Ferjani, Fethi; Elloumi, Samir; Jaoua, Ali ( Springer International Publishing , 2016 , Article)
      A challenging area of pattern recognition is the recognition of handwritten texts in different languages and the reduction of a volume of data to the greatest extent while preserving associations (or dependencies) between ...
    • A review on challenging issues in Arabic sentiment analysis 

      Hamdi, Ali; Shaban, Khaled; Zainal, Anazida ( Science Publications , 2016 , Article Review)
      Understanding what people think about an idea or how they evaluate a product, a service or a policy is important for individuals, companies and governments. Sentiment analysis is the process of automatically identifying ...
    • Arabic Machine Translation: A Survey with Challenges and Future Directions 

      Zakraoui J.; Saleh M.; Al-Maadeed, Somaya; Alja'am J.M. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      In recent years, computer language area has witnessed important evolvement with applications in different domains. Machine Translation MT technology, considered as a subfield, has received important development with different ...
    • Arabic named entity recognition-a survey and analysis 

      Dandashi, Amal; Al Jaam, Jihad; Foufou, Sebti ( Springer Science and Business Media Deutschland GmbH , 2016 , Conference Paper)
      As Arabic digital data has been increasing in abundance; the need for processing this information is growing. Named entity recognition (NER) is an information extraction technique that is vital to the processes of natural ...
    • Bidirectional Language Modeling: A Systematic Literature Review 

      Shah Jahan, Muhammad; Khan, Habib Ullah; Akbar, Shahzad; Umar Farooq, Muhammad; Gul, Sarah; ... more authors ( Hindawi , 2021 , Article)
      In transfer learning, two major activities, i.e., pretraining and fine-tuning, are carried out to perform downstream tasks. The advent of transformer architecture and bidirectional language models, e.g., bidirectional ...
    • CAT: Credibility Analysis of Arabic Content on Twitter 

      El Ballouli, Rim; El-Hajj, Wassim; Ghandour, Ahmad; Elbassuoni, Shady; Hajj, Hazem; ... more authors ( Association for Computational Linguistics (ACL) , 2017 , Conference Paper)
      Data generated on Twitter has become a rich source for various data mining tasks. Those data analysis tasks that are dependent on the tweet semantics, such as sentiment analysis, emotion mining, and rumor detection among ...
    • Comparative Evaluation of Sentiment Analysis Methods Across Arabic Dialects 

      Baly, Ramy; El-Khoury, Georges; Moukalled, Rawan; Aoun, Rita; Hajj, Hazem; ... more authors ( Elsevier , 2017 , Conference Paper)
      Sentiment analysis in Arabic is challenging due to the complex morphology of the language. The task becomes more challenging when considering Twitter data that contain significant amounts of noise such as the use of Arabizi, ...
    • Evaluation of Arabic to English Machine Translation Systems 

      Zakraoui J.; Saleh M.; Al-Maadeed, Somaya; Alja'am J.M. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Arabic machine translation has an important role in most NLP tasks. Many machine translation systems that support Arabic exist already; however the quality of the translation needs to be improved. In this paper, we review ...
    • Hulmona ( حلمنا ): The universal language model in arabic 

      ElJundi, Obeida; Antoun, Wissam; El Droubi, Nour; Hajj, Hazem; El-Hajj, Wassim; ... more authors ( Association for Computational Linguistics (ACL) , 2019 , Conference Paper)
      Arabic is a complex language with limited resources which makes it challenging to produce accurate text classification tasks such as sentiment analysis. The utilization of transfer learning (TL) has recently shown promising ...
    • IDRISI-RA: The First Arabic Location Mention Recognition Dataset of Disaster Tweets 

      Suwaileh, Reem; Imran, Muhammad; Elsayed, Tamer ( Association for Computational Linguistics (ACL) , 2023 , Conference Paper)
      Extracting geolocation information from social media data enables effective disaster management, as it helps response authorities; for example, in locating incidents for planning rescue activities, and affected people for ...
    • Methodical evaluation of Arabic word embeddings 

      Elrazzaz, Mohammed; Elbassuoni, Shady; Shaban, Khaled; Helwe, Chadi ( Association for Computational Linguistics (ACL) , 2017 , Conference Paper)
      Many unsupervised learning techniques have been proposed to obtain meaningful representations of words from text. In this study, we evaluate these various techniques when used to generate Arabic word embeddings. We first ...