Alex Context NLG Dataset
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10335719" target="_blank" >RIV/00216208:11320/16:10335719 - isvavai.cz</a>
Result on the web
<a href="http://hdl.handle.net/11234/1-1675" target="_blank" >http://hdl.handle.net/11234/1-1675</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Alex Context NLG Dataset
Original language description
A dataset intended for fully trainable natural language generation (NLG) systems in task-oriented spoken dialogue systems (SDS), covering the English public transport information domain. It includes preceding context (user utterance) along with each data instance (pair of source meaning representation and target natural language paraphrase to be generated). Taking the form of the previous user utterance into account for generating the system response allows NLG systems trained on this dataset to entrain (adapt) to the preceding utterance, i.e., reuse wording and syntactic structure. This should presumably improve the perceived naturalness of the output, and may even lead to a higher task success rate. Crowdsourcing has been used to obtain natural context user utterances as well as natural system responses to be generated.
Czech name
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Czech description
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Classification
Type
R - Software
CEP classification
AI - Linguistics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Internal product ID
11234/1-1675
Technical parameters
Výsledek volně dostupný na adrese http://hdl.handle.net/11234/1-1675.
Economical parameters
40000 Kč
Owner IČO
00216208
Owner name
Univerzita Karlova v Praze