Artificial Intelligence - Special issue on knowledge representation
Maintaining knowledge about temporal intervals
Communications of the ACM
Testing the descriptive validity of possibility theory in human judgments of uncertainty
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Probabilistic Temporal Interval Networks
TIME '04 Proceedings of the 11th International Symposium on Temporal Representation and Reasoning
Fuzzy theory approach for temporal model-based diagnosis: An application to medical domains
Artificial Intelligence in Medicine
Temporal abstraction in intelligent clinical data analysis: A survey
Artificial Intelligence in Medicine
Lexical choice of modal expressions
ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation
The algebra IAfuz: a framework for qualitative fuzzy temporal reasoning
Artificial Intelligence
Extending temporal databases to deal with telic/atelic medical data
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
If it may have happened before, it happened, but not necessarily before
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
Hi-index | 0.00 |
Many real-world applications that reason about events obtained from raw data must deal with the problem of temporal uncertainty, which arises due to error or inaccuracy in data. Uncertainty also compromises reasoning where relationships between events need to be inferred. This paper discusses an approach to dealing with uncertainty in temporal and causal relations using Possibility Theory, focusing on a family of medical decision support systems that aim to generate textual summaries from raw patient data in a Neonatal Intensive Care Unit. We describe a framework to capture temporal uncertainty and to express it in generated texts by mean of linguistic modifiers. These modifiers have been chosen based on a human experiment testing the association between subjective certainty about a proposition and the participants' way of verbalising it.