مؤسسة الشرق الأوسط للنشر العلمي
عادةً ما يتم الرد في غضون خمس دقائق
Abstract
neural networks have had its limitations and shortcomings in certain areas. Its representations must be formal which cannot be said about humans who have common sense and use it. Rule-based computers are limited in their abilities to accommodate inaccurate information and logic machines are not good at dealing with images and making analogies. In this study, we described Natural Language Processing problems that can be solved using neural networks. As we showed, neural networks have many applications such as text classification, information extraction, semantic parsing, question answering, paraphrase detection, language generation, multi-document summarization, machine translation, and speech and character recognition. In many cases, neural networks methods outperform other methods