RealText-cs - Corpus based domain independent Content Selection model
| aut.researcher | Perera, Rivindu | |
| dc.contributor.author | Perera, R | en_NZ |
| dc.contributor.author | Nand, P | en_NZ |
| dc.date.accessioned | 2015-10-14T03:03:40Z | |
| dc.date.available | 2015-10-14T03:03:40Z | |
| dc.date.copyright | 2014 | en_NZ |
| dc.date.issued | 2014 | en_NZ |
| dc.description.abstract | Content 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. | en_NZ |
| dc.identifier.citation | In Tools with Artificial Intelligence (ICTAI), 2014 IEEE 26th International Conference on , vol., no., pp.599-606, 10-12 Nov. 2014 doi: 10.1109/ICTAI.2014.95 | en_NZ |
| dc.identifier.doi | 10.1109/ICTAI.2014.95 | en_NZ |
| dc.identifier.uri | https://hdl.handle.net/10292/9109 | |
| dc.publisher | IEEE | en_NZ |
| dc.relation.uri | http://dx.doi.org/10.1109/ICTAI.2014.95 | |
| dc.rights | Copyright © 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.accessrights | OpenAccess | en_NZ |
| dc.subject | Content selection; Natural language generation; Natural Language Processing; Semantic web | |
| dc.title | RealText-cs - Corpus based domain independent Content Selection model | en_NZ |
| dc.type | Conference Contribution | |
| pubs.elements-id | 189764 | |
| pubs.organisational-data | /AUT | |
| pubs.organisational-data | /AUT/Design & Creative Technologies |