Enviar pesquisa
Carregar
IJASAH
•
0 gostou
•
205 visualizações
R
robby warisa
Seguir
Denunciar
Compartilhar
Denunciar
Compartilhar
1 de 1
Baixar agora
Baixar para ler offline
Recomendados
Title
Title
karlaldrin
Mdulo i unidade 2 contedo
Mdulo i unidade 2 contedo
resolvidos
Resumen de la Gestión de la Comisión de Gestión por Competencias 2010-2014, Presidentas de la Comisión: Dra. Abril de Méndez - 2010-2011 Dra. Elizabeth Molina de Petrovich - 2012-2014
Informe gestión 2010 2014
Informe gestión 2010 2014
Consejo de Rectores de Panamá
DZ47-63 3C
DZ47-63 3C
Ray Chan
...
Bulgarian Beauty?
Bulgarian Beauty?
incandescentbab25
insight
insight
Mfon Nyoyoko
Crowdsourcing has long established itself as a viable alternative to corpus annotation by domain experts for tasks such as document relevance assessment. The crowdsourcing process traditionally relies on high degrees of label redundancy in order to mitigate the detrimental effects of individually noisy worker submissions. Such redundancy comes at the cost of increased label volume, and, subsequently, monetary requirements. In practice, especially as the size of datasets increases, this is undesirable. In this paper, we focus on an alternate method that exploits document information instead, to infer relevance labels for unjudged documents. We present an active learning scheme for document selection that aims at maximising the overall relevance label prediction accuracy, for a given budget of available relevance judgements by exploiting system-wide estimates of label variance and mutual information. Our experiments are based on TREC 2011 Crowdsourcing Track data and show that our method is able to achieve state-of-the-art performance while requiring 17 – 25% less budget. This paper has been accepted for presentation at the 25th ACM International Conference on Information and Knowledge Management (CIKM).
Active Content-Based Crowdsourcing Task Selection
Active Content-Based Crowdsourcing Task Selection
Carsten Eickhoff
Apostila mat2
Apostila mat2
resolvidos
Recomendados
Title
Title
karlaldrin
Mdulo i unidade 2 contedo
Mdulo i unidade 2 contedo
resolvidos
Resumen de la Gestión de la Comisión de Gestión por Competencias 2010-2014, Presidentas de la Comisión: Dra. Abril de Méndez - 2010-2011 Dra. Elizabeth Molina de Petrovich - 2012-2014
Informe gestión 2010 2014
Informe gestión 2010 2014
Consejo de Rectores de Panamá
DZ47-63 3C
DZ47-63 3C
Ray Chan
...
Bulgarian Beauty?
Bulgarian Beauty?
incandescentbab25
insight
insight
Mfon Nyoyoko
Crowdsourcing has long established itself as a viable alternative to corpus annotation by domain experts for tasks such as document relevance assessment. The crowdsourcing process traditionally relies on high degrees of label redundancy in order to mitigate the detrimental effects of individually noisy worker submissions. Such redundancy comes at the cost of increased label volume, and, subsequently, monetary requirements. In practice, especially as the size of datasets increases, this is undesirable. In this paper, we focus on an alternate method that exploits document information instead, to infer relevance labels for unjudged documents. We present an active learning scheme for document selection that aims at maximising the overall relevance label prediction accuracy, for a given budget of available relevance judgements by exploiting system-wide estimates of label variance and mutual information. Our experiments are based on TREC 2011 Crowdsourcing Track data and show that our method is able to achieve state-of-the-art performance while requiring 17 – 25% less budget. This paper has been accepted for presentation at the 25th ACM International Conference on Information and Knowledge Management (CIKM).
Active Content-Based Crowdsourcing Task Selection
Active Content-Based Crowdsourcing Task Selection
Carsten Eickhoff
Apostila mat2
Apostila mat2
resolvidos
safety Management system
safety Management system
robby warisa
passenger service
passenger service
robby warisa
Fire Awareness
Fire Awareness
robby warisa
DG8
DG8
robby warisa
DCS certificate
DCS certificate
robby warisa
Altea Customers Management
Altea Customers Management
robby warisa
Mais conteúdo relacionado
Mais de robby warisa
safety Management system
safety Management system
robby warisa
passenger service
passenger service
robby warisa
Fire Awareness
Fire Awareness
robby warisa
DG8
DG8
robby warisa
DCS certificate
DCS certificate
robby warisa
Altea Customers Management
Altea Customers Management
robby warisa
Mais de robby warisa
(6)
safety Management system
safety Management system
passenger service
passenger service
Fire Awareness
Fire Awareness
DG8
DG8
DCS certificate
DCS certificate
Altea Customers Management
Altea Customers Management
Baixar agora
