EPSRC Funded project for generating Summaries of Time Series Data

 

Project Summary

Our goal is to develop technology for producing English summary descriptions of a time-series data set. Currently there are many visualisation tools for time-series data, but techniques for producing textual descriptions of time-series data are much less developed. Some systems have been developed in the natural-language generation (NLG) community for tasks such as producing weather reports from weather simulations, or summaries of stock market fluctuations, but such systems have not used advanced time-series analysis techniques. Our goal is to develop better technology for producing summaries of time-series data by integrating leading-edge time-series and NLG technology.
 

SumTime Parallel Corpus

SumTime-Meteo ---- A parallel corpus of weather data and their corresponding human written forecast texts
 

Demo

SumTime-Mousam Demo - Generates only Wind Descriptions
 

FAQ

FAQ for People outside the Academic Research Community
 

Evaluation

User Evaluation of SumTime-Mousam
 

IGR

Final Report (IGR) to EPSRC about SumTime
 

Publications

Links to publications

Project Team

Collaborators

Related Links


 
For more details contact yaji dot sripada #AT# abdn dot ac _dot_ uk