Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...
Information Extraction (IE) — the problem of extracting structured information from unstructured text — has become the key enabler for many enterprise applications such as sem...
Laura Chiticariu, Vivian Chu, Sajib Dasgupta, Thil...
Re-identification is a major privacy threat to public datasets containing individual records. Many privacy protection algorithms rely on generalization and suppression of "qu...
This paper explores what kinds of information two parties must communicate in order to correct errors which occur in a shared secret string W. Any bits they communicate must leak ...
Abstract. This paper targets with applications running on mobile devices and using context informations. Following previous studies from other authors, we extend the notion of cont...