GRAPH

the costs of redundancy in referring expressions

Emiel Krahmer*, Mariët Theune, Jette Viethen, Iris Hendrickx

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

10 Citations (Scopus)

Abstract

We describe a graph-based generation system that participated in the TUNA attribute selection and realisation task of the REG 2008 Challenge. Using a stochastic cost function (with certain properties for free), and trying attributes from cheapest to more expensive, the system achieves overall .76 DICE and .54 MASI scores for attribute selection on the development set. For realisation, it turns out that in some cases higher attribute selection accuracy leads to larger differences between system-generated and human descriptions.

Original languageEnglish
Title of host publicationProceedings of the Fifth International Natural Language Generation Conference
Place of PublicationStroudsburg, PA
PublisherAssociation for Computational Linguistics (ACL)
Pages227-229
Number of pages3
Publication statusPublished - 2008
Event5th International Natural Language Generation Conference, INLG 2008 - Salt Fork, OH, United States
Duration: 12 Jun 200814 Jun 2008

Other

Other5th International Natural Language Generation Conference, INLG 2008
CountryUnited States
CitySalt Fork, OH
Period12/06/0814/06/08

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