Controlling Redundancy in Referring Expressions
Jette Viethen | Robert Dale | Emiel Krahmer | Mariët Theune | Pascal Touset
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)
Krahmer et al.s (2003) graph-based framework provides an elegant and flexible approach to the generation of referring expressions. In this paper, we present the first reported study that systematically investigates how to tune the parameters of the graph-based framework on the basis of a corpus of human-generated descriptions. We focus in particular on replicating the redundant nature of human referring expressions, whereby properties not strictly necessary for identifying a referent are nonetheless included in descriptions. We show how statistics derived from the corpus data can be integrated to boost the frameworks performance over a non-stochastic baseline.