We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
Documents in the Web are often organized using category trees by information providers (e.g. CNN, BBC) or search engines (e.g. Google, Yahoo!). Such category trees are commonly kn...
We present DiTaBBu, Digital Talking Books Builder, a framework for automatic production of time-based hypermedia for the Web, focusing on the Digital Talking Books domain. Deliver...
We propose a new way of browsing contextualized-news articles. Our prototype browser system is called a Time-based ContextualizedNews Browser (T-CNB). The T-CNB concurrently and a...
We propose a method of automatically constructing Web content from video streams with metadata that we call TV2Web. The Web content includes thumbnails of video units and caption ...