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The topics covered in the book are data science and analytics, natural language processing, predictive analytics, artificial intelligence, machine learning, deep learning, big data computing, cognitive computing, data visualization, image processing, and optimization techniques.
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This book provides a new multi-method, process-oriented approach towards speech quality assessment, which allows readers to examine the influence of speech transmission quality on a variety of perceptual and cognitive processes in human listeners.
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Meaning is a fundamental concept in Natural Language Processing (NLP), in the tasks of both Natural Language Understanding (NLU) and Natural Language Generation (NLG).
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In particular, we elaborate on three main aspects of neural approaches to text production: how sequential decoders learn to generate adequate text, how encoders learn to produce better input representations, and how neural generators account for task-specific objectives.
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Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
Current research in Conversational AI focuses mainly on the application of machine learning and statistical data-driven approaches... Læs mere
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Embeddings have undoubtedly been one of the most influential research areas in Natural Language... Læs mere
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A look at relations outside context, then in general texts, and then in texts in specialized domains, has gradually brought new insights, and led to... Læs mere
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Weighted finite-state transducers (WFSTs) are commonly used by engineers and computational linguists for processing and generating speech and text. It then introduces... Læs mere
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This book presents a taxonomy framework and survey of methods relevant to explaining the decisions and analyzing the inner workings of Natural Language Processing... Læs mere
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