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A Context-aware Natural Language Generator for Dialogue Systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10335458" target="_blank" >RIV/00216208:11320/16:10335458 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.aclweb.org/anthology/W/W16/W16-3622.pdf" target="_blank" >http://www.aclweb.org/anthology/W/W16/W16-3622.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Context-aware Natural Language Generator for Dialogue Systems

  • Original language description

    We present a novel natural language generation system for spoken dialogue systems capable of entraining (adapting) to users' way of speaking, providing contextually appropriate responses. The generator is based on recurrent neural networks and the sequence-to-sequence approach. It is fully trainable from data which include preceding context along with responses to be generated. We show that the context-aware generator yields significant improvements over the baseline in both automatic metrics and a human pairwise preference test.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • 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

  • Article name in the collection

    Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue

  • ISBN

    978-1-945626-23-4

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    185-190

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

    Stroudsburg, PA, USA

  • Event location

    Los Angeles, CA, USA

  • Event date

    Sep 13, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article