Summary of the paper
| Title | Controlling Redundancy in Referring Expressions |
|---|---|
| Authors | Jette Viethen, Robert Dale, Emiel Krahmer, Mariet Theune and Pascal Touset |
| Abstract | 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 framework’s performance over a non-stochastic baseline. |
| Language | Single language |
| Topics | Generation, Statistical methods, Evaluation methodologies |
Full paper |
Controlling Redundancy in Referring Expressions |
Slides |
Controlling Redundancy in Referring Expressions |
| Bibtex | @InProceedings{VIETHEN08.239, author = {Jette Viethen, Robert Dale, Emiel Krahmer, Mariet Theune and Pascal Touset}, title = {Controlling Redundancy in Referring Expressions}, booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)}, year = {2008}, month = {may}, date = {28-30}, address = {Marrakech, Morocco}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-4-0}, note = {http://www.lrec-conf.org/proceedings/lrec2008/}, language = {english} } |