Paper: Content Selection From Semantic Web Data

ACL ID W12-1527
Title Content Selection From Semantic Web Data
Venue International Conference on Natural Language Generation
Session Main Conference
Year 2012
Authors

So far, there has been little success in Natural Language Generation in coming up with gen- eral models of the content selection process. Nonetheless, there has been some work on content selection that employ Machine learn- ing 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. 1 Motivation So far, there has been little success in Natural Lan- guage Generation in coming up with general mod- els of the content selection process. Most of the researchers in the field agree that th...