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)
The regulation of biological functions including cell growth, viability, migration, and adhesion of small cell lung cancer (SCLC) cells depends largely on the autocrine or paracrine stimulation of growth factor receptors and chemokine receptors. Stem cell factor (SCF) and its receptor c-Kit have been identified as important regulators of SCLC viability and… (More)
Georeferenced data sets are often large and complex. Natural Language Generation (NLG) systems are beginning to emerge that generate texts from such data. One of the challenges these systems face is the generation of geographic descriptions referring to the location of events or patterns in the data. Based on our studies in the domain of meteorology we… (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)
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)
We describe our initial investigations into generating textual summaries of spatio-temporal data with the help of a prototype Natural Language Generation (NLG) system that produces pollen forecasts for Scotland.
The major surface glycoprotein (MSG) is an abundant, immunodominant protein on the surface of the opportunistic pathogen Pneumocystis carinii. The current study identified two novel variant MSG (vMSG) gene families in rat P. carinii that are closely related to but distinct from MSG. These gene families encode proteins of approximately 90 kDa (v1MSG) and… (More)
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)
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.
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)