In this paper we propose a keyPhrase-sense disambiguation methodology called "context filters" for use in keyPhrase based information filtering systems. A context filter...
Context-Aware applications adapt their behaviour to the current situation of the user. This information, for instance user location and user availability, is called context informa...
Abstract. Conflict-based diagnosis is a recently proposed probabilistic method for model-based diagnosis, inspired by consistencybased diagnosis, that uses a measure of data confli...
We present the results of an empirical study evaluating the precision of subset-based points-to analysis with several variations of context sensitivity on Java benchmarks of signif...
Identifying background (context) information in scientific articles can help scholars understand major contributions in their research area more easily. In this paper, we propose ...