Wepresent a new approachtodisambiguatingsyntactically ambiguous words in context, based on Variable Memory Markov (VMM) models. In contrast to xed-length Markovmodels,whichpredict...
We introduce and discuss the application of statistical physics concepts in the context of on-line machine learning processes. The consideration of typical properties of very large...
In the context of Dolev-Yao style analysis of security protocols, we consider the capability of an intruder to dynamically choose and assign names to agents. This capability has b...
The aim of this paper is to propose a method for tagging named entities (NE), using natural language processing techniques. Beyond their literal meaning, named entities are freque...
In this paper 1 we describe the design, implementation and evaluation of a software framework that supports the development of mobile, context-aware trails-based applications. A t...