Incremental RR has also been studied in a number of papers, including a framework for fast incremental interpretation (Schuler et al., 2009), a Bayesian filtering model approach that was sensitive to disfluencies , a model that used Markov Logic Networks to resolve objects on a screen , a model of RR and incremental feedback (Traum et al., 2012), and an approach that used a semantic representation to refer to objects (Peldszus et al., 2012;Kennington et al., 2014).
(2011) used 14 task-specific features, three of which they found to be the most informative in their model.