Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/22393
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dc.contributor.authorPortet, Francois
dc.contributor.authorGatt, Albert
dc.date.accessioned2017-10-09T09:23:24Z
dc.date.available2017-10-09T09:23:24Z
dc.date.issued2009
dc.identifier.citationPortet, F., & Gatt, A. (2009). Towards a possibility-theoretic approach to uncertainty in medical data interpretation for text generation. KR4HC: International Workshop on Knowledge Representation for Health Care, Verona. 155-168.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/22393
dc.description.abstractMany 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.en_GB
dc.language.isoenen_GB
dc.publisherSpringer, Berlin, Heidelbergen_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectNatural language processing (Computer science)en_GB
dc.subjectCorpora (Linguistics)en_GB
dc.subjectLinguistic analysis (Linguistics)en_GB
dc.subjectReference (Linguistics)en_GB
dc.subjectWord (Linguistics)en_GB
dc.titleTowards a possibility-theoretic approach to uncertainty in medical data interpretation for text generationen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holderen_GB
dc.bibliographicCitation.conferencenameKR4HC : International Workshop on Knowledge Representation for Health Careen_GB
dc.bibliographicCitation.conferenceplaceVerona, Italy, 19/07/2009en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1007/978-3-642-11808-1_13
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