پنجشنبه 13 اردیبهشت 1403
| عنوان مقاله | |
| عنوان مقاله |
Recent trends in deep learning based natural language processing |
| عنوان فارسی مقاله | روندهای اخیر در یادگیری عمیق مبتنی بر پردازش زبان طبیعی |
| مشخصات مقاله انگلیسی | |
| نشریه: Ieee |
|
| سال انتشار |
2018 |
| عنوان مجله |
IEEE Computational Intelligence Magazine |
| تعداد صفحات مقاله انگلیسی | 21 |
| رفرنس | دارد |
| تعداد رفرنس | 164 |
| چکیده مقاله | |
| چکیده |
Deep learning methods employ multiple processing layers to learn hierarchical representations of data, and have produced state-of-the-art results in many domains. Recently, a variety of model designs and methods have blossomed in the context of natural language processing (NLP). In this paper, we review significant deep learning related models and methods that have been employed for numerous NLP tasks and provide a walk-through of their evolution. We also summarize, compare and contrast the various models and put forward a detailed understanding of the past, present and future of deep learning in NLP. |
| کلمات کلیدی |
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| دانلود | |
