Building a Parallel Spatio-Temporal Data-Text Corpus for Summary Generation

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

Abstract

We describe a corpus of naturally occurring road ice weather forecasts and the associated weather prediction data they are based upon. We also show how observations from an analysis of this corpus have been applied to build a prototype Natural Language Generation (NLG) system for producing road ice forecasts. While this corpus occurs in a narrow domain, it has much wider applicability due to the nature of its spatial descriptions, whose primary communicative goal is to describe the interaction between meteorological parameters and geographic features.
Original languageEnglish
Title of host publicationProceedings of LREC08 Workshop on Methodologies and Resources for Processing Spatial Language
PublisherLREC
Pages28-35
Number of pages8
Publication statusPublished - 2008
EventMethodologies and Resources for Processing Spatial Language - Marrakech, Morocco
Duration: 31 May 2008 → …
http://www.lrec-conf.org/lrec2008/

Workshop

WorkshopMethodologies and Resources for Processing Spatial Language
Country/TerritoryMorocco
CityMarrakech
Period31/05/08 → …
Internet address

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