… of the research on Natural Language Generation (NLG) over the past two decades, especially
in relation to data-to-text generation and text-to-text generation deep learning methods, as …

… 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 timely in …

… In this article, we give an overview of Natural Language Generation (NLG) from an applied
system-building perspective. The article includes a discussion of when NLG techniques …

… Natural Language Generation (NLG) has improved … such as Transformer-based language
models. This advancement … , dialogue generation, and data-to-text generation. However, it is …

… (NLG) systems generate texts in English and other human languages. Although they are …
of natural language processing systems, they are not simply natural language understanding …

… of natural language generation () techniques and systems? In this paper we describe
what is involved in natural language generation, … work in natural language understanding. The …

… It took a while, but natural language generation is now an established commercial software
… We look at who’s active in the space, the nature of the technology that’s available today and …

Communication via a natural language requires two fundamental skills, producing text and
understanding it. This article introduces the field of computational approaches to the former-…

… This paper presents three trainable systems for surface natural language generation (NLG).
Surface NLG, for our purposes, consists of generating a grammatical natural language …

… nature of language generation that do not depend directly on the details; they will hold for
any language generator … between communicative goals and generator decisions, containing …