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Two-Layer Semantic Entity Detection and Utterance Validation for Spoken Dialogue Systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43922769" target="_blank" >RIV/49777513:23520/14:43922769 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/content/pdf/10.1007%2F978-3-319-10816-2_68.pdf" target="_blank" >http://link.springer.com/content/pdf/10.1007%2F978-3-319-10816-2_68.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-10816-2_68" target="_blank" >10.1007/978-3-319-10816-2_68</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Two-Layer Semantic Entity Detection and Utterance Validation for Spoken Dialogue Systems

  • Original language description

    In this paper we present a novel method for semantic entity detection in a limited domain for spoken language understanding. The target domain of this method is a dialogue system for an interactive training of air traffic controllers (ATC). The method comprises of two layers of detection. First layer uses formerly proposed method for semantic entity detection to extract domain-dependent set of semantic entities. This semantic entities are modelled using context-free grammars. To detect mispronounced words or words which do not comply with the ATC radio-telephony rules we use the second layer of semantic entity detection. Together with that, we assign a semantic meaning to the utterance. We also discuss the possibility of using this approach for semantic-based correction of an utterance. The experiments were performed on transcribed data as well as on an output from speech recognizer.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/TE01020197" target="_blank" >TE01020197: Centre for Applied Cybernetics 3</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Text, Speech, and Dialogue, 17th International Conference, TSD 2014, Brno, Czech Republic, September 8-12, 2014. Proceedings

  • ISBN

    978-3-319-10815-5

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    563-570

  • Publisher name

    Springer

  • Place of publication

    Heidelberg

  • Event location

    Brno, Czech Republic

  • Event date

    Sep 8, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article