Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...
Intervals represent a fundamental data type for temporal, scientific, and spatial databases where time stamps and point data are extended to time spans and range data, respectively...
Text documents often embed data that is structured in nature, and we can expose this structured data using information extraction technology. By processing a text database with inf...
Static Single Assignment (SSA) has become the intermediate program representation of choice in most modern compilers because it enables efficient data flow analysis of scalars an...
Silvius Rus, Guobin He, Christophe Alias, Lawrence...
We introduce the Multi-Structural Database, a new data framework to support efficient analysis of large, complex data sets. An instance of the model consists of a set of data obje...
Ronald Fagin, Ramanathan V. Guha, Ravi Kumar, Jasm...