Logic programs under answer-set semantics constitute an important tool for declarative problem solving. In recent years, two research issues received growing attention. On the one ...
Martin Gebser, Torsten Schaub, Hans Tompits, Stefa...
The Fellegi-Holt method automatically “corrects” data that fail some predefined requirements. Computer implementations of the method were used in many national statistics bure...
Abstract Storing and retrieving time-related information are important, or even critical, tasks on many areas of Computer Science (CS) and in particular for Artificial Intelligence...
Recent work in resource analysis has translated the idea of amortised resource analysis to imperative languages using a program logic that allows mixing of assertions about heap sh...
David Aspinall, Robert Atkey, Kenneth MacKenzie, D...
We present a probabilistic generative model for learning semantic parsers from ambiguous supervision. Our approach learns from natural language sentences paired with world states ...