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 …

In this paper, an overview of human–robot interactive communication is presented, covering
verbal as well as non-verbal aspects. Following a historical introduction, and motivation …

Abstract Human–Robot Interaction (HRI) has recently received considerable attention in the
academic community, in labs, in technology companies, and through the media. Because of …

We present a holistic data-driven approach to image description generation, exploiting the
vast amount of (noisy) parallel image data and associated natural language descriptions …

Cognitive developmental robotics (CDR) aims to provide new understanding of how
human's higher cognitive functions develop by means of a synthetic approach that …

One of the main challenges in automatically generating textual weather forecasts is
choosing appropriate English words to communicate numeric weather data. A corpus-based …

Data-to-text systems are Natural Language Generation (NLG) systems which generate texts
from noninguistic inpūt data, such as sensordātā ānd event logs. Such systems need to …

(*) Notice: Subject to any disclaimer, the term of this 2005. O197843 A1* 9, 2005 Faisman et
al. TO4, 276 patent is extended or adjusted under 35 2005/0203738 A1* 9/2005 …

We present a novel commentator system that learns language from sportscasts of simulated
soccer games. The system learns to parse and generate commentaries without any …

A theoretical framework for grounding language is introduced that provides a computational
path from sensing and motor action to words and speech acts. The approach combines …