A Semi-Supervised BERT Approach for Arabic Named Entity Recognition

Conference: The 5th Arabic Natural Language Workshop (to appear) Authors: Chadi Helwe, Ghassan Dib, Mohsen Shamas, Shady Elbassuoni Abstract: Named entity recognition (NER) plays a significant role in many applications such as information extraction, information retrieval, question answering, and even machine translation. Most of the work on NER using deep learning was done for non-Arabic languages

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Arabic Named Entity Recognition via Deep Co-learning

Journal: Artificial Intelligence Review Authors: Chadi Helwe, Shady Elbassuoni Abstract: Named entity recognition (NER) is an important natural language processing (NLP) task with many applications. We tackle the problem of Arabic NER using deep learning based on Arabic word embeddings that capture syntactic and semantic relationships between words. Deep learning has been shown to perform

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Methodical Evaluation of Arabic Word Embeddings

  Conference: The 55th Annual Meeting of the Association for Computational Linguistics Authors: Mohammed Elrazzaz, Shady Elbassuoni, Khaled Shaban, Chadi Helwe Abstract: 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 build

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Reconfigurable and Adaptive Spark Applications

  Conference: The 7th International Conference on Cloud Computing and Services Science Authors: Bilal Abi Farraj, Wael Al Rahal Al Orabi, Chadi Helwe, Mohamad Jaber, Mohamad Omar Kayali, Mohamed Nassar Abstract: The contribution of this paper is two-fold. First, we propose a Domain Specific Language (DSL) to easily reconfigure and compose Spark applications. For each

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About Me

Hello World !!!! My name is Chadi Helwe; I am a research assistant at the American University of Beirut working on deep learning. I graduated from the same university with an MSc in Computer Science. My master thesis was about  Arabic Named Entity Recognition via Deep Co-learning. I like everything related to AI, especially machine

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