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EMNLP
2008
13 years 10 months ago
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
Omar Zaidan, Jason Eisner
ICAIL
2003
ACM
14 years 2 months ago
A Model Based Reasoning Approach for Generating Plausible Crime Scenarios from Evidence
Robust decision support systems (DSSs) for crime investigation are difficult to construct because of the almost infinite variation of plausible crime scenarios. Thus, existing ap...
Jeroen Keppens, John Zeleznikow
DATE
2004
IEEE
181views Hardware» more  DATE 2004»
14 years 14 days ago
A Methodology and Tool Suite for C Compiler Generation from ADL Processor Models
Retargetable C compilers are key tools for efficient architecture exploration for embedded processors. In this paper we describe a novel approach to retargetable compilation based...
Manuel Hohenauer, Hanno Scharwächter, Kingshu...
ECOOP
2000
Springer
14 years 1 months ago
Automated Test Case Generation from Dynamic Models
We have recently shown how use cases can be systematically transformed into UML state charts considering all relevant information from a use case specification, including pre- and ...
Peter Fröhlich, Johannes Link