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 ...
Polina Kuznetsova, Vicente Ordonez, Alexander C. B...
We describe an implementation of datadriven selection of emphatic facial displays for an embodied conversational agent in a dialogue system. A corpus of sentences in the domain of...
This paper presents a critical discussion of the various approaches that have been used in the evaluation of Natural Language systems. We conclude that previous approaches have ne...
The GIVE Challenge is a new Internetbased evaluation effort for natural language generation systems. In this paper, we motivate and describe the software infrastructure that we de...
Alexander Koller, Donna Byron, Justine Cassell, Ro...
Recent years have seen increasing interest in automatic metrics for the evaluation of generation systems. When a system can generate syntactic variation, automatic evaluation becom...