| dc.contributor.advisor | Emms, Martin | |
| dc.contributor.author | Franco-Penya, Hector-Hugo | |
| dc.date.accessioned | 2019-11-06T11:22:32Z | |
| dc.date.available | 2019-11-06T11:22:32Z | |
| dc.date.issued | 2013 | |
| dc.identifier.citation | Hector-Hugo Franco-Penya, 'k-NN approach for classifying semantic roles via Tai-mapping projections', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2013, pp 286 | |
| dc.identifier.other | THESIS 10129 | |
| dc.identifier.uri | http://hdl.handle.net/2262/90158 | |
| dc.description.abstract | Semantic role labelling (SRL) is the task of labelling text with a
semantic notation in order to identify who did what? When? How?
Etc. Once the text is labelled; that information can be used to solve
a multitude of other natural language processing tasks. | |
| dc.format | 1 volume | |
| dc.language.iso | en | |
| dc.publisher | Trinity College (Dublin, Ireland). School of Computer Science & Statistics | |
| dc.relation.isversionof | http://stella.catalogue.tcd.ie/iii/encore/record/C__Rb15355379 | |
| dc.subject | Computer Science & Statistics, Ph.D. | |
| dc.subject | Ph.D. Trinity College Dublin. | |
| dc.title | k-NN approach for classifying semantic roles via Tai-mapping projections | |
| dc.type | thesis | |
| dc.type.supercollection | thesis_dissertations | |
| dc.type.supercollection | refereed_publications | |
| dc.type.qualificationlevel | Doctoral | |
| dc.type.qualificationname | Doctor of Philosophy (Ph.D.) | |
| dc.rights.ecaccessrights | openAccess | |
| dc.format.extentpagination | pp 286 | |
| dc.description.note | TARA (Trinity’s Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie | |
