| dc.contributor.author | Lin, Chenghua | |
| dc.contributor.author | Liu, Dong | |
| dc.contributor.author | Pang, Wei | |
| dc.contributor.author | Wang, Zhe | |
| dc.date.accessioned | 2015-12-21T14:12:04Z | |
| dc.date.available | 2015-12-21T14:12:04Z | |
| dc.date.issued | 2015-12 | |
| dc.identifier | 53837646 | |
| dc.identifier | 06c71a7a-edec-4d95-846c-5ae5e80a3283 | |
| dc.identifier | 84949539144 | |
| dc.identifier.citation | Lin , C , Liu , D , Pang , W & Wang , Z 2015 , ' Sherlock : a Semi-Automatic Framework for Quiz Generation Using a Hybrid Semantic Similarity Measure ' , Cognitive Computation , vol. 7 , no. 6 , pp. 667-679 . https://doi.org/10.1007/s12559-015-9347-7 | en |
| dc.identifier.issn | 1866-9956 | |
| dc.identifier.other | ORCID: /0000-0002-1761-6659/work/59923265 | |
| dc.identifier.uri | http://hdl.handle.net/2164/5299 | |
| dc.description | Acknowledgments This work is supported by the BBC Connected Studio programme (http://www.bbc.co.uk/partnersandsuppliers/con nectedstudio/), the award made by the RCUK Digital Economy theme to the dot.rural Digital Economy Hub; award reference EP/G066051/1, the award made by UK Economic & Social Research Council (ESRC); award reference ES/M001628/1, National Natural Science Foundation of China (NSFC) under Grant No. 61373051, and the China National Science and Technology Pillar Program (Grant No. 2013BAH07F05). The authors would like to thank Ryan Hussey for the work on the user interface design and Tom Cass and James Ruston for the help in developing the Sherlock application. We are also grateful to Herm Baskerville for creating the editorial quizzes and Nava Tintarev for many helpful discussions on the human evaluation. | en |
| dc.format.extent | 13 | |
| dc.format.extent | 2306384 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Cognitive Computation | en |
| dc.subject | quiz generation | en |
| dc.subject | linked data | en |
| dc.subject | RDF | en |
| dc.subject | educational games | en |
| dc.subject | semantic similarity | en |
| dc.subject | text analytics | en |
| dc.subject | QA75 Electronic computers. Computer science | en |
| dc.subject.lcc | QA75 | en |
| dc.title | Sherlock : a Semi-Automatic Framework for Quiz Generation Using a Hybrid Semantic Similarity Measure | en |
| dc.type | Journal article | en |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.contributor.institution | University of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB) | en |
| dc.description.status | Peer reviewed | en |
| dc.identifier.doi | 10.1007/s12559-015-9347-7 | |
