Writers generally rely on plans or sketches to write long stories, but most current language
models generate word by word from left to right. We explore coarse-to-fine models for …

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 …

Existing neural methods for data-to-text generation are still struggling to produce long and
diverse texts: they are insufficient to model input data dynamically during generation, to …

One of the major problems with the Internet is the abundance of information and the difficulty
for the average computer user to read everything existing on a specific topic. There exist …

This paper summarizes work over the past five years on the automated planning and
generation of multisentence texts using discourse structure relations, placing it in context of …

Existing data-to-text generation efforts mainly focus on generating a coherent text from non-
linguistic input data, such as tables and attribute–value pairs, but overlook that different …

One of the important Natural Language Processing applications is Text Summarization,
which helps users to manage the vast amount of information available, by condensing …

Narrative generation has historically suffered from poor writing quality, stemming from a
narrow focus on story grammars and plot design. Moreover, to-date natural language …

One of the most important questions in applied NLG is what bene ts (orvalueadded', in
business-speak) NLG technology o ers over template-based approaches. Despite the …

Methods, apparatuses, and computer program products are described herein that are
configured to be embodied as and/or performed by a document planner. In some examples …