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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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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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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.