Decoding Methods in Neural Language Generation: A Survey

Neural encoder-decoder models for language generation can be trained to predict words directly from linguistic or non-linguistic inputs. When generating with these so-called end-to-end models, however, the NLG system needs an additional decoding procedure that determines the output sequence, given t...

Full description

Bibliographic Details
Main Authors: Sina Zarrieß, Henrik Voigt, Simeon Schüz
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/12/9/355