Titlebook: Deep Learning Approaches to Text Production; Shashi Narayan,Claire Gardent Book 2020 Springer Nature Switzerland AG 2020

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Thomas English,Garrison W. Greenwoodltiple, interacting factors and differ depending on the NLG task they address. More specifically, three main types of pre-neural NLG architectures can be distinguished depending on whether the task is to generate from data from meaning representations or text.

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Natural Processes and Artificial Proceduresome data), is first encoded into a continuous representation. This representation is then input to the decoder, which predicts output words, one step at a time, conditioned both on the input representation and on the previously predicted words.

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Introduction,ned with (i.e., text production from data, from text, and from meaning representations) and we summarise the content of each chapter. We also indicate what is not covered and introduce some notational conventions.

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Pre-Neural Approachesltiple, interacting factors and differ depending on the NLG task they address. More specifically, three main types of pre-neural NLG architectures can be distinguished depending on whether the task is to generate from data from meaning representations or text.

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