Paper: A Case Study: NLG meeting Weather Industry Demand for Quality and Quantity of Textual Weather Forecasts

ACL ID W14-4401
Title A Case Study: NLG meeting Weather Industry Demand for Quality and Quantity of Textual Weather Forecasts
Venue International Conference on Natural Language Generation
Session Main Conference
Year 2014
Authors

In the highly competitive weather indus- try, demand for timely, accurate and per- sonalized weather reports is always on the rise. In this paper we present a case study where Arria NLG and the UK na- tional weather agency, the Met Office came together to test the hypothesis that NLG can meet the quality and quantity demands of a real-world use case.