About: Semantic Entity Detection in the Spoken Air Traffic Control Data

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://link.springer.com/chapter/10.1007%2F978-3-319-11581-8_49
Description	The paper deals with the semantic entity detection (SED) in the ASR lattices obtained by recognizing the air traffic control dialogs. The presented method is intended for the use in an automatic training tool for air traffic controllers. The semantic entities are modeled using the expert-defined context-free grammars. We use a novel approach which allows processing of uncertain input in the form of weighted finite state transducer. The method was experimentally evaluated on the real data. We also compare two methods for utilization of the knowledge about the dialog environment in the SED process. The results show that the SED with the knowledge about target semantic entities improves the equal error rate from 24.7% to 17.1% in comparison to generic SED. The paper deals with the semantic entity detection (SED) in the ASR lattices obtained by recognizing the air traffic control dialogs. The presented method is intended for the use in an automatic training tool for air traffic controllers. The semantic entities are modeled using the expert-defined context-free grammars. We use a novel approach which allows processing of uncertain input in the form of weighted finite state transducer. The method was experimentally evaluated on the real data. We also compare two methods for utilization of the knowledge about the dialog environment in the SED process. The results show that the SED with the knowledge about target semantic entities improves the equal error rate from 24.7% to 17.1% in comparison to generic SED. (en)
Title	Semantic Entity Detection in the Spoken Air Traffic Control Data Semantic Entity Detection in the Spoken Air Traffic Control Data (en)
skos:prefLabel	Semantic Entity Detection in the Spoken Air Traffic Control Data Semantic Entity Detection in the Spoken Air Traffic Control Data (en)
skos:notation	RIV/49777513:23520/14:43922931!RIV15-TA0-23520___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(TA01030476)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Šmídl, Luboš Švec, Jan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Západočeská univerzita v Plzni / Fakulta aplikovaných věd
http://linked.open...dnocenehoVysledku	44374
http://linked.open...ai/riv/idVysledku	RIV/49777513:23520/14:43922931
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	spoken language understanding, semantic entity detection (en)
http://linked.open.../riv/klicoveSlovo	spoken language understanding semantic entity detection
http://linked.open...ontrolniKodProRIV	[1B0455C67E46]
http://linked.open...v/mistoKonaniAkce	Novi Sad, Serbia
http://linked.open...i/riv/mistoVydani	Heidelberg
http://linked.open...i/riv/nazevZdroje	Speech and Computer, 16th International Conference, SPECOM 2014, Novi Sad, Serbia, October 5-9, 2014, Proceedings
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Intelligent technologies for improving air traffic security
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Šmídl, Luboš Švec, Jan
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-10-05 (xsd:date)
issn	0302-9743
number of pages	8 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-319-11581-8_49
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-319-11580-1
http://localhost/t...ganizacniJednotka	23520

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