This paper presents a supervised approach for identifying generic noun phrases in context. Generic statements express rulelike knowledge about kinds or events. Therefore, their id...
One issue for context-aware applications is to identify without delay situations requiring reactions. The identification of these situations is computed from both dynamic context ...
In the context of multiple security protocols running in the same environment, we propose a syntactical approach for identifying multi-protocol attacks. The proposed approach uses ...
– This paper derives a single chemical sensor based algorithm from the moth-inspired chemical plume strategies for identifying plume sources in fluid-advected environments. We ev...
Abstract. In this paper, we use supervised machine learning to automatically identify the problem localization of peer-review feedback. Using five features extracted via Natural L...