| Creator | Grycová, Petra | |
| Creator | Jurčíček, Filip | |
| Creator | Olivová, Jana | |
| Creator | Štichová, Eva | |
| Creator | Dušek, Ondřej | |
| Creator | Starý, Michal | |
| Creator | Dvořák, Josef | |
| Creator | Hejda, Matěj | |
| Date | 2017-04-04T07:43:20Z | |
| dc.date.accessioned | 2021-07-25T12:07:28Z | |
| dc.date.available | 2021-07-25T12:07:28Z | |
| Identifier | http://hdl.handle.net/11234/1-2123 | |
| dc.identifier.uri | https://linghub.org/handle/123456789/1042851 | |
| Description | This is a dataset for natural language generation (NLG) in task-oriented spoken dialogue systems with Czech as the target language. It originated as a translation of the English San Francisco Restaurants dataset by Wen et al. (2015).
It includes input dialogue acts and the corresponding output natural language paraphrases in Czech. Since the dataset is intended for recurrent neural network based NLG systems using delexicalization, inflection tables for all slot values appearing verbatim in the text are provided. | |
| Publisher | Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL) | |
| Rights | http://creativecommons.org/licenses/by-sa/4.0/ | |
| Rights | Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) | |
| Subject | morphological generation | |
| Subject | natural language generation | |
| Subject | dialogue system | |
| Title | Czech restaurant information dataset for NLG | |
| Type | corpus | |
| Type | Text | |
| dcterms.available | 2017-04-04T07:43:20Z | |
| dcterms.bibliographicCitation | http://hdl.handle.net/11234/1-2123 | |
| dcterms.creator | Grycová, Petra | |
| dcterms.creator | Jurčíček, Filip | |
| dcterms.creator | Olivová, Jana | |
| dcterms.creator | Štichová, Eva | |
| dcterms.creator | Dušek, Ondřej | |
| dcterms.creator | Starý, Michal | |
| dcterms.creator | Dvořák, Josef | |
| dcterms.creator | Hejda, Matěj | |
| dcterms.date | 2017-04-04T07:43:20Z | |
| dcterms.description | This is a dataset for natural language generation (NLG) in task-oriented spoken dialogue systems with Czech as the target language. It originated as a translation of the English San Francisco Restaurants dataset by Wen et al. (2015).
It includes input dialogue acts and the corresponding output natural language paraphrases in Czech. Since the dataset is intended for recurrent neural network based NLG systems using delexicalization, inflection tables for all slot values appearing verbatim in the text are provided. | |
| dcterms.identifier | http://hdl.handle.net/11234/1-2123 | |
| dcterms.publisher | Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL) | |
| dcterms.rights | http://creativecommons.org/licenses/by-sa/4.0/ | |
| dcterms.rights | Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) | |
| dcterms.subject | morphological generation | |
| dcterms.subject | natural language generation | |
| dcterms.subject | dialogue system | |
| dcterms.title | Czech restaurant information dataset for NLG | |
| dcterms.type | corpus | |
| dcterms.type | Text | |
| odrl.Policy | http://purl.org/net/rdflicense/cc-by-sa4.0 | |
