Towards a general theory of action and time
Artificial Intelligence
A logic-based calculus of events
New Generation Computing
Temporal reasoning based on semi-intervals
Artificial Intelligence
Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
Temporal representation and reasoning in artificial intelligence: Issues and approaches
Annals of Mathematics and Artificial Intelligence
Commonsense Reasoning
Learning event durations from event descriptions
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Machine learning of temporal relations
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
TimeML-compliant text analysis for temporal reasoning
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Possibilistic temporal reasoning based on fuzzy temporal constraints
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Artificial intelligence today
Jobshop scheduling with imprecise durations: a fuzzy approach
IEEE Transactions on Fuzzy Systems
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This paper reports on our recent work on modeling and automatically extracting vague, implicit event durations from text (Pan et al., 2006a, 2006b). It is a kind of commonsense knowledge that can have a substantial impact on temporal reasoning problems. We have also proposed a method of using normal distributions to model Judgments that are intervals on a scale and measure their interannotator agreement; this should extend from time to other kinds of vague but substantive information in text and commonsense reasoning.