Automated discourse generation using discourse structure relations
Artificial Intelligence - Special volume on natural language processing
Discovery-Driven Exploration of OLAP Data Cubes
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Practical issues in automatic documentation generation
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
Building applied natural language generation systems
Natural Language Engineering
Bilingual generation of weather forecasts in an operations environment
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 1
Content aggregation in natural language hypertext summarization of OLAP and data mining discoveries
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Interactive natural language query construction for report generation
INLG '12 Proceedings of the Seventh International Natural Language Generation Conference
Hi-index | 0.00 |
We present a new approach to content determination and discourse organization in Natural Language Generation (NLG). This approach relies on two decision-support oriented database technologies, OLAP and data mining, and it can be used for any NLG application involving the textual summarization of quantitative data. It improves on previous approaches to content planning for NLG in quantitative domains by providing: (1) application domain independence, (2) efficient, variable granularity insight search in high dimensionality data spaces, (3) automatic discovery of surprising, counter-intuitive data, and (4) tailoring of output text organization towards different, declaratively specified, analytical perspectives on the input data.