Character convolutions for Arabic Named Entity Recognition with Long Short-Term Memory Networks

Character convolutions for Arabic Named Entity Recognition with Long Short-Term Memory Networks

Named Entity Recognition (NER) is a significant information extraction task since it is an important component of many natu ral language processing applications, such as Information Retrieval, Question Answering and Speech Recognition. The complex ity and morphological richness of the Arabic languag...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Khalifaa , Muhammad (author)
مؤلفون آخرون:	Shaalan, Khaled (author)
منشور في:	2019
الموضوعات:	Named Entity Recognition; Arabic; Recurrent Neural Network; LSTM; Convolutional Neural Network
الوصول للمادة أونلاين:	https://bspace.buid.ac.ae/handle/1234/2785 https://doi.org/10.1016/j.csl.2019.05.003.
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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