Arabic Named Entity Recognition: A BERT-BGRU Approach
نویسندگان
چکیده
منابع مشابه
Arabic Named Entity Recognition
Stemming is the process of reducing words to their stems or roots. Due to the morphological richness and complexity of the Arabic language, stemming is an essential part of most Natural Language Processing (NLP) tasks for this language. In this paper, we study the impact of different stemming approaches on the Named Entity Recognition (NER) task for Arabic and explore the merits, limitations an...
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Most Arabic Named Entity Recognition (NER) systems have been developed using either of two approaches: a rule-based or Machine Learning (ML) based approach, with their strengths and weaknesses. In this paper, the problem of Arabic NER is tackled through integrating the two approaches together in a pipelined process to create a hybrid system with the aim of enhancing the overall performance of N...
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We present ASemiNER, a semisupervised algorithm for identifying Named Entities (NEs) in Arabic text. ASemiNER does not require annotated training data, or gazetteers. It also can be easily adapted to handle more than the three standard NE types (Person, Location, and Organisation). To our knowledge, our algorithm is the first study that intensively investigates the semi-supervised pattern-based...
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A Named Entity Recognition (NER) plays a noteworthy role in Natural Language Processing (NLP) research, since it makes available the detection of proper nouns in unstructured texts. NER makes easier searching, retrieving, and extracting information seeing as the significant information in texts is usually sited around proper names. This paper suggests an efficient approach that can identify Nam...
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The Named Entity Recognition (NER) task has been garnering significant attention as it has been shown to help improve the performance of many Natural Language Processing (NLP) applications. More recently, we are starting to see a surge in developing NER systems for languages other than English. With the relative abundance of resources for the Arabic language and a certain degree of maturation i...
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ژورنال
عنوان ژورنال: Computers, Materials & Continua
سال: 2021
ISSN: 1546-2226
DOI: 10.32604/cmc.2021.016054