Real Text-CS - Corpus based domain independent content selection model

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aut.relation.endpage606
aut.relation.startpage599
aut.researcherNand, Parma
dc.contributor.authorPerera, R
dc.contributor.authorNand, P
dc.date.accessioned2015-04-21T02:36:46Z
dc.date.available2015-04-21T02:36:46Z
dc.date.copyright2014-11
dc.date.issued2014-11
dc.description.abstractContent selection is a highly domain dependent task responsible for retrieving relevant information from a knowledge source using a given communicative goal. This paper presents a domain independent content selection model using keywords as communicative goal. We employ DBpedia triple store as our knowledge source and triples are selected based on weights assigned to each triple. The calculation of the weights is carried out through log likelihood distance between a domain corpus and a general reference corpus. The method was evaluated using keywords extracted from QALD dataset and the performance was compared with cross entropy based statistical content selection. The evaluation results showed that the proposed method can perform 32% better than cross entropy based statistical content selection.
dc.identifier.citationPublished in: IEEE 26th International Conference on Tools with Artificial Intelligence (ICTAI), pp.599 - 606
dc.identifier.doi10.1109/ICTAI.2014.95
dc.identifier.issn1082-3409
dc.identifier.urihttps://hdl.handle.net/10292/8596
dc.publisherIEEE
dc.relation.urihttp://dx.doi.org/10.1109/ICTAI.2014.95
dc.rightsCopyright © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.rights.accessrightsOpenAccess
dc.subjectContent selection
dc.subjectNatural Language Generation
dc.subjectNatural Language Processing
dc.subjectSemantic web
dc.titleReal Text-CS - Corpus based domain independent content selection model
dc.typeConference Contribution
pubs.elements-id179621
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
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