A framework for knowledge-based temporal abstraction
Artificial Intelligence
Building natural language generation systems
Building natural language generation systems
Using Natural-Language Processing to Produce Weather Forecasts
IEEE Expert: Intelligent Systems and Their Applications
Detecting and Describing Patterns in Time-Varying Data Using Wavelets
IDA '97 Proceedings of the Second International Symposium on Advances in Intelligent Data Analysis, Reasoning about Data
Describing complex charts in natural language: a caption generation system
Computational Linguistics - Special issue on natural language generation
Practical issues in automatic documentation generation
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
Knowledge acquisition for natural language generation
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Squibs and discussions: human variation and lexical choice
Computational Linguistics - Summarization
Generating English summaries of time series data using the Gricean maxims
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Machine translation based on NLG from XML-DB
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 2
Choosing words in computer-generated weather forecasts
Artificial Intelligence - Special volume on connecting language to the world
Statistical acquisition of content selection rules for natural language generation
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Collective content selection for concept-to-text generation
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Enabling access to geo-referenced information: Atlas.txt
W4A '08 Proceedings of the 2008 international cross-disciplinary conference on Web accessibility (W4A)
Choosing words in computer-generated weather forecasts
Artificial Intelligence - Special volume on connecting language to the world
Using spatial reference frames to generate grounded textual summaries of georeferenced data
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
What's in a message?: interpreting geo-referenced data for the visually-impaired
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
A discourse-aware graph-based content-selection framework
INLG '10 Proceedings of the 6th International Natural Language Generation Conference
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In this paper we describe a two-stage model for content determination in systems that summarise time series data. The first stage involves building a qualitative overview of the data set, and the second involves using this overview, together with the actual data, to produce summaries of the time-series data. This model is based on our observations of how human experts summarise time-series data.