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EMNLP
2008
15 years 7 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
IJCAI
2007
15 years 7 months ago
A Fully Connectionist Model Generator for Covered First-Order Logic Programs
We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples,...
Sebastian Bader, Pascal Hitzler, Steffen Höll...
FM
2003
Springer
98views Formal Methods» more  FM 2003»
15 years 11 months ago
Generating Counterexamples for Multi-valued Model-Checking
Counterexamples explain why a desired temporal logic property fails to hold, and as such are considered to be the most useful form of output from model-checkers. Multi-valued model...
Arie Gurfinkel, Marsha Chechik
AAAI
1994
15 years 7 months ago
A Plan-Based Model for Response Generation in Collaborative Task-Oriented Dialogues
This paper presents a plan-based architecture for response generation in collaborative consultation dialogues, with emphasis on cases in which the system (consultant) and user (ex...
Jennifer Chu-Carroll, Sandra Carberry