Abstract. We develop a Bayesian approach to concept learning for crowdsourcing applications. A probabilistic belief over possible concept definitions is maintained and updated acc...
Paolo Viappiani, Sandra Zilles, Howard J. Hamilton...
Semantic similarity measures have been used successfully and extensively in the biomedical research with various applications. As the biomedical ontologies, which form the main gro...
We investigate temporal resolution of documents, such as determining the date of publication of a story based on its text. We describe and evaluate a model that build histograms e...
In this paper, we propose a novel approach to automatic generation of aspect-oriented summaries from multiple documents. We first develop an event-aspect LDA model to cluster sen...
—Network coding aware routing protocols have been an interesting research topic in recent years. In this paper, we explore similar routing gains with physical layer coding techni...