This paper presents an empirical study for improving the performance of text chunking. We focus on two issues: the problem of selecting feature spaces, and the problem of alleviat...
Traditionally, machine learning approaches for information extraction require human annotated data that can be costly and time-consuming to produce. However, in many cases, there ...
Partially Observable Markov Decision Processes have been studied widely as a model for decision making under uncertainty, and a number of methods have been developed to find the s...
Abstract. In the current networked world, outsourcing of information technology or even of entire business processes is often a prominent design alternative. In the general case, o...
Abstract. This paper reports on our work on three complementary directions, aimed at developing: (i) a theoretical framework named UFO (Unified Foundational Ontology) for (re) desi...
Renata S. S. Guizzardi, Giancarlo Guizzardi, Jo&at...