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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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In Part 2, the book presents guided exercises to illustrate how one would go about building and evaluating a simple automated scoring system, while Part 3 offers readers a survey... Læs mere
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The two-volume proceedings, LNCS 13249 and 13250, constitutes the thoroughly refereed... Læs mere
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This concise volume offers an accessible introduction to state-of-the-art AI language models, providing a platform for their use in textual interpretation across the humanities and social sciences.
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Using a 235,000-word diachronic corpus developed from artists' interviews and statements, this Element investigates shifts in artists' use of language to conceptualise their art practice from 1950 to 2019.
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A unified and accessible introduction for graduate courses in computational fluid dynamics and heat transfer. This unique... Læs mere
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In providing an analysis of the grammar of the dialect of seven counties along the Yellow River, this two-volume set synchronically and diachronically studies the Jin dialect of China’s Northern Shaanxi Province.