Semantic parsing is the task of mapping natural language sentences to complete formal meaning representations. The performance of semantic parsing can be potentially improved by u...
We extend the OLAP data model to represent data ambiguity, specifically imprecision and uncertainty, and introduce an allocation-based approach to the semantics of aggregation qu...
Douglas Burdick, Prasad Deshpande, T. S. Jayram, R...
We present a probabilistic generative model for learning semantic parsers from ambiguous supervision. Our approach learns from natural language sentences paired with world states ...
We study a metamodel for the Entity Relationship (ER) and the Relational data model. We do this by describing the syntax of the ER data model by introducing classes for ER schemata...
By modeling dynamic join points, pointcuts, and advice in a defunctionalized continuation-passing style interpreter, we provide a fundamental account of these AOP mechanisms. Dyna...