ILEX: an architecture for a dynamic hypertext generation system
Natural Language Engineering
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
Natural language directed inference from ontologies
Artificial Intelligence
Investigating content selection for language generation using machine learning
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
Learning content selection rules for generating object descriptions in dialogue
Journal of Artificial Intelligence Research
A discourse-aware graph-based content-selection framework
INLG '10 Proceedings of the 6th International Natural Language Generation Conference
Expressing OWL axioms by English sentences: dubious in theory, feasible in practice
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Content selection from an ontology-based knowledge base for the generation of football summaries
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
Multilingual online generation from semantic web ontologies
Proceedings of the 21st international conference companion on World Wide Web
The surface realisation task: recent developments and future plans
INLG '12 Proceedings of the Seventh International Natural Language Generation Conference
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So far, there has been little success in Natural Language Generation in coming up with general models of the content selection process. Nonetheless, there has been some work on content selection that employ Machine learning or heuristic search. On the other side, there is a clear tendency in NLG towards the use of resources encoded in standard Semantic Web representation formats. For these reasons, we believe that time has come to propose an initial challenge on content selection from Semantic Web data. In this paper, we briefly outline the idea and plan for the execution of this task.