: In the last decade many governments have created e-services in order to deliver instant and advanced services to their citizens. One of the major transactions between the state a...
A seed-based framework for textual information extraction allows for weakly supervised acquisition of open-domain class attributes over conceptual hierarchies, from a combination ...
Sumo is a formalism for universal segmentation of text. Its purpose is to provide a framework for the creation of segmentation applications. It is called universal as the formalis...
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...