Abstract In this paper we present a new rule-based approach for consistency preserving view updating in deductive databases. Based on rule transformations performed during schema d...
This paper presents a semi-supervised training method for linear-chain conditional random fields that makes use of labeled features rather than labeled instances. This is accompli...
This paper tackles textual demand analysis, the task of capturing what people want or need, rather than identifying what they like or dislike, on which much conventional work has ...
We present the first tool that offers dynamic verification of extended traints on UML models. It translates a UML model into an Abstract State (ASM) which is transformed by an AS...
We present a new coding mechanism, spatiotemporal coding, that allows coders to annotate points and regions in the video frame by drawing directly on the screen. Coders can not on...