WP 3 extends the data-driven approach from WP 2 to semantics. Overall, we will pursue an approach inspired by Lewis & Steedman (2013), albeit with TAG/RRG instead of CCG. More concretely, via a probabilistic grammar of tree-meaning pairs, language will be mapped to semantic representations. The semantic representations are frames enriched with logical operators. Furthermore, the elements of the frames, i.e., the event predicates and semantic roles, are mapped to distributional vectors. This allows then to relate these predicates via their distributional properties, which allows for reasoning with these representations.
Lewis, M. & M. Steedman. 2013. Combined Distributional and Logical Semantics. Transactions of the Association for Computational Linguistics 1. 179–192.