This HTML5 document contains 50 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
n20http://localhost/temp/predkladatel/
n10http://linked.opendata.cz/resource/domain/vavai/projekt/
n6http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n13http://linked.opendata.cz/resource/domain/vavai/subjekt/
n11http://linked.opendata.cz/ontology/domain/vavai/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
rdfshttp://www.w3.org/2000/01/rdf-schema#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n21http://bibframe.org/vocab/
n14http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00216208%3A11320%2F12%3A10130046%21RIV13-GA0-11320___/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n5http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n18http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n12http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n4http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n19http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n9http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n17http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F12%3A10130046%21RIV13-GA0-11320___
rdf:type
skos:Concept n11:Vysledek
rdfs:seeAlso
http://link.springer.com/chapter/10.1007/978-3-642-33247-0_12
dcterms:description
This paper deals with evaluation of information retrieval from unsegmented speech. We focus on Mean Generalized Average Precision, the evaluation measure widely used for unsegmented speech retrieval. This measure is designed to allow certain tolerance in matching retrieval results (starting points of relevant segments) against a gold standard relevance assessment. It employs a Penalty Function which evaluates non-exact matches in the retrieval results based on their distance from the beginnings of their nearest true relevant segments. However, the choice of the Penalty Function is usually ad-hoc and does not necessary reflect users' perception of the speech retrieval quality. We perform a lab test to study satisfaction of users of a speech retrieval system to empirically estimate the optimal shape of the Penalty Function. This paper deals with evaluation of information retrieval from unsegmented speech. We focus on Mean Generalized Average Precision, the evaluation measure widely used for unsegmented speech retrieval. This measure is designed to allow certain tolerance in matching retrieval results (starting points of relevant segments) against a gold standard relevance assessment. It employs a Penalty Function which evaluates non-exact matches in the retrieval results based on their distance from the beginnings of their nearest true relevant segments. However, the choice of the Penalty Function is usually ad-hoc and does not necessary reflect users' perception of the speech retrieval quality. We perform a lab test to study satisfaction of users of a speech retrieval system to empirically estimate the optimal shape of the Penalty Function.
dcterms:title
Penalty Functions for Evaluation Measures of Unsegmented Speech Retrieval Penalty Functions for Evaluation Measures of Unsegmented Speech Retrieval
skos:prefLabel
Penalty Functions for Evaluation Measures of Unsegmented Speech Retrieval Penalty Functions for Evaluation Measures of Unsegmented Speech Retrieval
skos:notation
RIV/00216208:11320/12:10130046!RIV13-GA0-11320___
n11:predkladatel
n13:orjk%3A11320
n3:aktivita
n4:P n4:S
n3:aktivity
P(DF12P01OVV022), P(GBP103/12/G084), S
n3:cisloPeriodika
7488
n3:dodaniDat
n17:2013
n3:domaciTvurceVysledku
n6:9997180 n6:5657512 n6:2787865
n3:druhVysledku
n9:J
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n14:predkladatel
n3:idSjednocenehoVysledku
158103
n3:idVysledku
RIV/00216208:11320/12:10130046
n3:jazykVysledku
n12:eng
n3:klicovaSlova
retrieval; speech; unsegmented; measures; evaluation; functions; penalty
n3:klicoveSlovo
n5:speech n5:measures n5:evaluation n5:unsegmented n5:penalty n5:retrieval n5:functions
n3:kodStatuVydavatele
DE - Spolková republika Německo
n3:kontrolniKodProRIV
[1D4581F9632F]
n3:nazevZdroje
Lecture Notes in Computer Science
n3:obor
n19:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n10:GBP103%2F12%2FG084 n10:DF12P01OVV022
n3:rokUplatneniVysledku
n17:2012
n3:svazekPeriodika
7488
n3:tvurceVysledku
Hajič, Jan Pecina, Pavel Galuščáková, Petra
s:issn
0302-9743
s:numberOfPages
12
n21:doi
10.1007/978-3-642-33247-0_12
n20:organizacniJednotka
11320