While discriminative training (e.g., CRF, structural SVM) holds much promise for machine translation, image segmentation, and clustering, the complex inference these applications ...
A core problem in data mining is to retrieve data in a easy and human friendly way. Automatically translating natural language questions into SQL queries would allow for the design...
In this work we present the runtime architecture of the OMPi OpenMP compiler. OMPi is a source-to-source C translator featuring a portable, modular and extensible runtime system. ...
Giorgos Ch. Philos, Vassilios V. Dimakopoulos, Pan...
Executable UML allows precisely describing the softtem at a higher level of abstraction. It bridges the semantics gap between the UML design models and the implementation. The exe...
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...