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NLE
2007
78views more  NLE 2007»
13 years 4 months ago
Choosing the content of textual summaries of large time-series data sets
Natural Language Generation (NLG) can be used to generate textual summaries of numeric data sets. In this paper we develop an architecture for generating short (a few sentences) s...
Jin Yu, Ehud Reiter, Jim Hunter, Chris Mellish
IEAAIE
2003
Springer
13 years 9 months ago
SumTime-Turbine: A Knowledge-Based System to Communicate Gas Turbine Time-Series Data
Abstract: SumTime-Turbine produces textual summaries of archived timeseries data from gas turbines. These summaries should help experts understand large data sets that cannot be vi...
Jin Yu, Ehud Reiter, Jim Hunter, Somayajulu Sripad...
MIR
2006
ACM
157views Multimedia» more  MIR 2006»
13 years 10 months ago
Generating summaries and visualization for large collections of geo-referenced photographs
We describe a framework for automatically selecting a summary set of photos from a large collection of geo-referenced photographs. Such large collections are inherently difficult ...
Alexander Jaffe, Mor Naaman, Tamir Tassa, Marc Dav...
ECAI
2008
Springer
13 years 6 months ago
Using Natural Language Generation Technology to Improve Information Flows in Intensive Care Units
In the drive to improve patient safety, patients in modern intensive care units are closely monitored with the generation of very large volumes of data. Unless the data are further...
Jim Hunter, Albert Gatt, François Portet, E...
EDBT
2008
ACM
138views Database» more  EDBT 2008»
14 years 4 months ago
Mine your own business, mine others' news!
Major media companies such as The Financial Times, the Wall Street Journal or Reuters generate huge amounts of textual news data on a daily basis. Mining frequent patterns in this...
Boualem Benatallah, Guillaume Raschia, Noureddine ...