use this technique to augment an existing CRF-based information extraction system with long-distance dependency models, enforcing label consistency and extraction template consistency constraints. This technique results in an error reduction of up to 9 % over state-of-the-art systems on two

Data augmentation and Gibbs sampling are two closely related, sampling-based approaches to the calculation of posterior moments. The fact that each produces a sample whose constituents are neither independent nor identically distributed complicates the assessment of convergence and numerical

such as overloading, coercion, subtyping, and parameterization are examined. A unifying framework for polymorphic type systems is developed in terms of the typed λ-calculus augmented to include binding of types by quantification as well as binding of values by abstraction. The typed λ-calculus is augmented

algorithm is implemented and the results are used to augment and critique the structure of a large hand-built thesaurus. Extensions and applications to areas such as information retrieval are suggested.

It is widely known that when there are errors with a moving-average root close to −1, a high order augmented autoregression is necessary for unit root tests to have good size, but that information criteria such as the AIC and the BIC tend to select a truncation lag (k) that is very small. We

of our framework is that, to a first approximation, computer capital substitutes for a limited and well-defined set of human activities, those involving repetitive information processing (cognitive) and routine manual tasks. This observation leads to a set of hypotheses that we test using samples

of relationships consumers form with brands; and (3) inducts from the data the concept of brand relationship quality, a diagnostic tool for conceptualizing and evaluating relation-ship strength. Three in-depth case studies inform this agenda, their interpretation guided by an integrative review of the literature

WiseWare is an operational knowledge-based system providing support for help desk analysts, users in Information Technology departments and channel partners [Delic and Lahaix, 1998]. A WiseWare document is an entity containing human readable knowledge expressed in free form English text. Documents

the intrinsic clustering structure accurately. We introduce a new algorithm for the purpose of cluster analysis which does not produce a clustering of a data set explicitly; but instead creates an augmented ordering of the database representing its density-based clustering structure. This cluster

We describe a prototype system that combines together the overlaid 3D graphics of augmented reality with the untethered freedom of mobile computing. The goal is to explore how these two technologies might together make possible wearable computer systems that can support users in their everyday