Paper: Classifiers for data-driven deep sentence generation

ACL ID W14-4416
Title Classifiers for data-driven deep sentence generation
Venue International Conference on Natural Language Generation
Session Main Conference
Year 2014
Authors

State-of-the-art statistical sentence gener- ators deal with isomorphic structures only. Therefore, given that semantic and syntac- tic structures tend to differ in their topol- ogy and number of nodes, i.e., are not iso- morphic, statistical generation saw so far itself confined to shallow, syntactic gener- ation. In this paper, we present a series of fine-grained classifiers that are essen- tial for data-driven deep sentence genera- tion in that they handle the problem of the projection of non-isomorphic structures.