Natural language processing (NLP) is one of the most important technologies in machine learning. Understanding complex language is a crucial part of artificial intelligence (AI). The applications of NLP are almost everywhere, as we communicate mostly through language and store human knowledge mostly in language as well. This includes web searches, advertisements, emails, customer service, machine translation, and so on. Some of the hot research areas include language modeling (speech recognition, machine translation), word-sense learning and disambiguation, reasoning over knowledge bases, acoustic modeling, part-of-speech tagging, name-entity recognition, sentiment analysis, chatbot, question/answering, and others. Each of these tasks requires a deep understanding of the task or the application, as well as effective and fast machine learning models...
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