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 …

This article surveys the use of natural language in robotics from a robotics point of view. To
use human language, robots must map words to aspects of the physical world, mediated by …

Large-scale language technologies are increasingly used in various forms of
communication with humans across different contexts. One particular use case for these …

Understanding language requires more than the use of fixed conventions and more than
decoding combinatorial structure. Instead, comprehenders make exquisitely sensitive …

In this paper we introduce a new game to crowd-source natural language referring
expressions. By designing a two player game, we can both collect and verify referring …

Model-based evaluation is at the heart of successful model development--as a reward
model for training, and as a replacement for human evaluation. To train such evaluators, the …

One of the most astonishing features of human language is its capacity to convey
information efficiently in context. Many theories provide informal accounts of communicative …

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 …

Recent progress in deep learning is essentially based on a “big data for small tasks”
paradigm, under which massive amounts of data are used to train a classifier for a single …

This is the first full study of how people refer to entities in natural discourse. It contributes to
the understanding of both linguistic diversity and the cognitive underpinnings of language …