ROADSAFE: Generating Text for Road Maintenance Vehicle Routing
RoadSafe was a collaborative project between the Computing Science Department at the University of Aberdeen and Aerospace & Marine International. The RoadSafe project aimed to build upon the expertise Aerospace & Marine International has in weather forecasting and the expertise the Computing Science Department at the University of Aberdeen has in building real world Natural Language Generation Systems.
The RoadSafe project:
- used Knowledge Aquisition techniques to understand how humans write textual instructions for road maintenance vehicle routing
- produced a system capable of automatically evaluating a region's geographical data combined with the weather forecast for 10'000s of points in that region to provide textual routing and de-icer spread rate instructions
- utilised Aerospace & Marine International's expert forecasters in order to post-edit generated advisory texts and therefore improve the performance of the system
The main objective of the project was to use the advisory texts produced by RoadSafe as a guide to local councils for grit and salting applications during the winter.
People
- Ehud Reiter
- Yaji Sripada
- Ross Turner
External Collaborator
- Ian Davy, Aerospace & Marine International
Publications
- Turner R., Sripada S., Reiter E. Generating Approximate Geographic Descriptions. To appear in proceedings of ENLG-2009, Athens, Greece, 30-31 March 2009
- Turner R., Sripada S., Reiter E. and Davy I. (2008). Using Spatial Reference Frames to Generate Grounded Textual Summaries of Georeferenced Data In Proceedings of INLG08, Salt Fork, Ohio, USA, 12-14th June 2008
- Turner R., Sripada S., Reiter E. and Davy I. (2008). Building a Parallel Spatio-Temporal Data-Text Corpus for Summary Generation. To Appear in Proceedings of the LREC2008 Workshop on Methodologies and Resources for Processing Spatial Language, Marrakech, Morocco, 31 May 2008
- Turner R., Sripada S., Reiter E. and Davy I. (2007). Selecting the Content of Textual Descriptions of Geographically Located Events in Spatio-Temporal Weather Data. In Applications and Innovations in Intelligent Systems XV,pages 75-88
- Turner R., Sripada S., Reiter E. and Davy I. (2006). Generating Spatio-Temporal Descriptions in Pollen Forecasts. Proceedings of EACL06 Companion Volume.
Publicity