Bidirectional model transformation plays an important role in maintaining consistency between two models, and has many potential applications in software development, including mo...
We present a Language Prototyping System that facilitates the modular development of interpreters from independent semantic buildks. The abstract syntax is modelled as the fixpoint...
In the context of spoken language interpretation, this paper introduces a stochastic approach to infer and compose semantic structures. Semantic frame structures are directly deri...
We present a novel connectionist model for acquiring the semantics of a simple language through the behavioral experiences of a real robot. We focus on the “compositionality” ...
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
Shaojun Wang, Shaomin Wang, Russell Greiner, Dale ...