In this paper, we explore the induction of semantic grammars under weak supervision provided in the form of ambiguous representations of the semantic context as explored in the NLP field of Semantic Parsing .
the training data comprises of a set of textual utterances coupled with symbolic context information from which we induce semantic parsers and derive different LMs for application with an ASR.