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
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
A text generation system for explaining concepts in geometry
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
Generating a coherent text describing a traffic scene
COLING '86 Proceedings of the 11th coference on Computational linguistics
A two-stage model for content determination
EWNLG '01 Proceedings of the 8th European workshop on Natural Language Generation - Volume 8
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
Choosing the content of textual summaries of large time-series data sets
Natural Language Engineering
Generating approximate geographic descriptions
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
Generating approximate geographic descriptions
Empirical methods in natural language generation
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In this paper we describe content determination issues involved in the Atlas.txt project, which aims to automatically describe geo-referenced information such as census data as text for the visually-impaired (VI). Texts communicating geo-referenced census information contain census data abstractions and their corresponding geographic references. Because visually impaired users find interpreting geographic references hard, we hypothesized that an introduction message about the underlying geography should help the users to interpret the geographic references easily. We performed user studies to design and evaluate the introduction message. An initial evaluation study with several sighted users and one partially sighted user showed that an introduction message is certainly preferred by most participants. Many of them used an introduction message themselves when they described maps textually. But the study also showed that the introduction message made no difference when the participants were asked to draw maps using the information in the textual descriptions.