The paper proposes an integrated framework which uses knowledge representation theory and languages to annotate relevant product information in a semantically rich and unambiguous ...
Michele Ruta, Floriano Scioscia, Eugenio Di Sciasc...
For extractive meeting summarization, previous studies have shown performance degradation when using speech recognition transcripts because of the relatively high speech recogniti...
We introduce a novel approach for robust belief tracking of user intention within a spoken dialog system. The space of user intentions is modeled by a probabilistic extension of t...
Neville Mehta, Rakesh Gupta, Antoine Raux, Deepak ...
For `mixed-criticality' systems that have both critical and non-critical functions, the greatest leverage on dependability may be at the design level. By designing so that ea...
We present Phantm, a static analyzer that uses a flowsensitive analysis to detect type errors in PHP applications. Phantm can infer types for nested arrays, and can leverage runti...