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In several domains spatio-temporal data consisting of references to both space and time are collected in large volumes. Textual summaries of spatio-temporal data will complement the map displays used in Geographical Information Systems (GIS) to present data to decision makers. In the RoadSafe project we are working on developing Natural Language Generation(More)
Summarising georeferenced (can be identified according to it's location) data in natural language is challenging because it requires linking events describing its non-geographic attributes to their underlying geography. This mapping is not straightforward as often the only explicit geographic information such data contains is latitude and longitude. In this(More)
This paper provides an overview of the Programme for International Student Assessment (PISA), an on-going international comparative survey study of educational outcomes at age 15. PISA is sponsored by the Organization for Economic Co-operation and Development (OECD) and for the period 1998-2010 has been designed and implemented by a consortium led by the(More)
Augmentative and Alternative Communication (AAC) systems are communication aids for people who cannot speak because of motor or cognitive impairments. We are developing AAC systems where users select information they wish to communicate, and this is expressed using an NLG system. We believe this model will work well in contexts where AAC users wish to go(More)
In the highly competitive weather industry , 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 national 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.
Children with complex communication needs who use voice output communication aids seldom engage in extended conversation. The “How was School today...?” system has been designed to enable such children to talk about their school day. The system uses data-to-text technology to generate narratives from sensor data. Observations, interviews and(More)
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(More)
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