We envision that the architectural space we inhabit will be a new form of interface between humans and online digital information. This paper discusses Ambient Displays: a new appr...
Craig Wisneski, Hiroshi Ishii, Andrew Dahley, Matt...
Abstract. This paper addresses the issue of simplifying natural language texts in order to ease the task of accessing factual information contained in them. We define the notion of...
Beata Beigman Klebanov, Kevin Knight, Daniel Marcu
Data exchange between heterogeneous schemas is a difficult problem that becomes more acute if the source and target schemas are from different data models. The data type of the obj...
We present two machine learning approaches to information extraction from semi-structured documents that can be used if no annotated training data are available, but there does ex...
Dimensionality reduction is a much-studied task in machine learning in which high-dimensional data is mapped, possibly via a non-linear transformation, onto a low-dimensional mani...