This paper surveys the current state of the art in Natural Language Generation (NLG),
defined as the task of generating text or speech from non-linguistic input. A survey of NLG is …

Abstract Virtual Customer Assistants (VCAs) are revolutionizing the way users interact with
machines. VCAs allow a far more natural interaction, and are gaining an increasingly large …

Transcribing structured data into natural language descriptions has emerged as a
challenging task, referred to as “data-to-text”. These structures generally regroup multiple …

Soccer is one of the most popular sports globally, and the amount of soccer-related content
worldwide, including video footage, audio commentary, team/player statistics, scores, and …

Anticipating the rise in Artificial Intelligence's ability to produce original works of literature,
this study suggests that literariness, or that which constitutes a text as literary, is …

Expressing natural language descriptions of structured facts or relations--data-to-text
generation (D2T)--increases the accessibility of structured knowledge repositories. Previous …

Cyber Threat Intelligence (CTI) reporting is pivotal in contemporary risk management
strategies. As the volume of CTI reports continues to surge, the demand for automated tools …

Multiple business scenarios require an automated generation of descriptive human-
readable long text from structured input data, where the source is typically a high-resource …

Transcribing structural data into readable text (data-to-text) is a fundamental language
generation task. One of its challenges is to plan the input records for text realization. Recent …

We discuss the ethical implications of Natural Language Generation systems. We use one
particular system as a case study to identify and classify issues, and we provide an ethics …