Integration of new utterances into context is a central task in any model for rational (human-machine) dialogues in natural language. In this paper, a pragmatics-first approach to...
FeedbackFlow is a framework that implements a general closed control loop of planning – execution result validation – re-planning, and generates workflows. In this article, we...
We present a probabilistic generative model for learning semantic parsers from ambiguous supervision. Our approach learns from natural language sentences paired with world states ...
The aim of this paper is to present an innovative approach for generating multiple choice questions in automatic way. Although other approaches have been already reported in the l...
Andreas Papasalouros, Konstantinos Kanaris, Konsta...
SUMTIME-MOUSAM is a Natural Language Generation (NLG) system that produces textual weather forecasts for offshore oilrigs from Numerical Weather Prediction (NWP) data. It has been ...
Somayajulu Sripada, Ehud Reiter, Ian Davy, Kristia...