dc.contributor.author | Forrest, James | |
dc.contributor.author | Sripada, Somayajulu | |
dc.contributor.author | Pang, Wei | |
dc.contributor.author | Coghill, George | |
dc.contributor.editor | Krahmer, Emiel | |
dc.contributor.editor | Gatt, Albert | |
dc.contributor.editor | Goudbeek, Martijn | |
dc.date.accessioned | 2019-01-07T09:50:07Z | |
dc.date.available | 2019-01-07T09:50:07Z | |
dc.date.issued | 2018-11-30 | |
dc.identifier | 141579491 | |
dc.identifier | 52145cd2-8289-4710-94f6-a219594e2e60 | |
dc.identifier | 85087155090 | |
dc.identifier.citation | Forrest , J , Sripada , S , Pang , W & Coghill , G 2018 , Towards making NLG a voice for interpretable Machine Learning . in E Krahmer , A Gatt & M Goudbeek (eds) , Proceedings of The 11th International Natural Language Generation Conference . , W18-6522 , Association for Computational Linguistics (ACL) , pp. 177-182 , 11th International Conference on Natural Language Generation (INLG 2018) , Tilburg , Netherlands , 5/11/18 . < https://aclanthology.coli.uni-saarland.de/volumes/proceedings-of-the-11th-international-conference-on-natural-language-generation > | en |
dc.identifier.citation | conference | en |
dc.identifier.isbn | 9781948087865 | |
dc.identifier.other | ORCID: /0000-0002-1761-6659/work/59923332 | |
dc.identifier.other | ORCID: /0000-0002-2047-8277/work/63561585 | |
dc.identifier.other | ORCID: /0000-0002-5428-8383/work/92908255 | |
dc.identifier.uri | http://hdl.handle.net/2164/11731 | |
dc.description | I would like to acknowledge the support given to me by the Engineering and Physical Sciences Research Council (EPSRC) DTP grant number EP/N509814/1. | en |
dc.format.extent | 6 | |
dc.format.extent | 169495 | |
dc.language.iso | eng | |
dc.publisher | Association for Computational Linguistics (ACL) | |
dc.relation.ispartof | Proceedings of The 11th International Natural Language Generation Conference | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject | Engineering and Physical Sciences Research Council (EPSRC) | en |
dc.subject | EP/N509814/1 | en |
dc.subject.lcc | QA75 | en |
dc.title | Towards making NLG a voice for interpretable Machine Learning | en |
dc.type | Conference item | en |
dc.contributor.institution | University of Aberdeen.Natural & Computing Sciences | en |
dc.contributor.institution | University of Aberdeen.Computing Science | en |
dc.contributor.institution | University of Aberdeen.Energy | en |
dc.contributor.institution | University of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB) | en |
dc.contributor.institution | University of Aberdeen.Computational Linguistics at Aberdeen | en |
dc.identifier.url | https://aclanthology.coli.uni-saarland.de/volumes/proceedings-of-the-11th-international-conference-on-natural-language-generation | en |