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 Natural Language Generation (NLG) is defined as the systematic approach for
producing human understandable natural language text based on non-textual data or from …

This article offers a survey of computational research on referring expression generation
(REG). It introduces the REG problem and describes early work in this area, discussing what …

As feedback is an important part of learning and motivation, we investigate how to adapt the
feedback of a conversational agent to learner personality (as well as to learner performance …

In this paper we provide a general approach for the concepts and processes related to the
generation of linguistic descriptions of time series. As we will see, this approach consists of …

This study investigates to what extent the amount of variation in a visual scene causes
speakers to mention the attribute color in their definite target descriptions, focusing on …

Recent applications of autonomous agents and robots have brought attention to crucial trust-
related challenges associated with the current generation of artificial intelligence (AI) …

In dialogue, repeated references contain fewer words (which are also acoustically reduced)
and fewer gestures than initial ones. In this paper, we describe three experiments studying …

When speakers describe objects with atypical properties, do they include these properties in
their referring expressions, even when that is not strictly required for unique referent …

We introduce a novel algorithm for generating referring expressions, informed by human
and computer vision and designed to refer to visible objects. Our method separates absolute …