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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

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

  • Czech description

Classification

  • Type

    R - Software

  • CEP classification

    AI - Linguistics

  • OECD FORD branch

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