Название: Deep Learning Approaches to Text Production
Автор: Shashi Narayan, Claire Gardent
Издательство: Morgan & Claypool Publishers
Год: 2020
Страниц: 201
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
Text production has many applications. It is used, for instance, to generate dialogue turns from dialogue moves, verbalise the content of knowledge bases, or generate English sentences from rich linguistic representations, such as dependency trees or abstract meaning representations. Text production is also at work in text-to-text transformations such as sentence compression, sentence fusion, paraphrasing, sentence (or text) simplification, and text summarisation. This book offers an overview of the fundamentals of neural models for text production. 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.