@inproceedings{viethen-etal-2008-controlling,
title = "Controlling Redundancy in Referring Expressions",
author = {Viethen, Jette and
Dale, Robert and
Krahmer, Emiel and
Theune, Mari{\"e}t and
Touset, Pascal},
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Piperidis, Stelios and
Tapias, Daniel",
booktitle = "Proceedings of the Sixth International Conference on Language Resources and Evaluation ({LREC}'08)",
month = may,
year = "2008",
address = "Marrakech, Morocco",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2008/pdf/239_paper.pdf",
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 frameworks performance over a non-stochastic baseline.",
}
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<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 frameworks performance over a non-stochastic baseline.</abstract>
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%0 Conference Proceedings
%T Controlling Redundancy in Referring Expressions
%A Viethen, Jette
%A Dale, Robert
%A Krahmer, Emiel
%A Theune, Mariët
%A Touset, Pascal
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Tapias, Daniel
%S Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC’08)
%D 2008
%8 May
%I European Language Resources Association (ELRA)
%C Marrakech, Morocco
%F viethen-etal-2008-controlling
%X 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.
%U http://www.lrec-conf.org/proceedings/lrec2008/pdf/239_paper.pdf
Markdown (Informal)
[Controlling Redundancy in Referring Expressions](http://www.lrec-conf.org/proceedings/lrec2008/pdf/239_paper.pdf) (Viethen et al., LREC 2008)
ACL
- Jette Viethen, Robert Dale, Emiel Krahmer, Mariët Theune, and Pascal Touset. 2008. Controlling Redundancy in Referring Expressions. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Marrakech, Morocco. European Language Resources Association (ELRA).