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1 Ergebnisse
1
DiVa: An Iterative Framework to Harvest More Diverse and Va..:
, In:
Proceedings of the 31st ACM International Conference on Multimedia
,
Liang, Hongru
;
Liu, Jingyao
;
Xiang, Yuanxin
... - p. 6223-6233 , 2023
Link:
https://dl.acm.org/doi/10.1145/3581783.3613750
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Multimedia</cTitle>: T1 <Title>DiVa: An Iterative Framework to Harvest More Diverse and Valid Labels from User Comments for Music</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3613750&Exemplar=1&LAN=DE A1 Liang, Hongru A1 Liu, Jingyao A1 Xiang, Yuanxin A1 Du, Jiachen A1 Zhou, Lanjun A1 Pan, Shushen A1 Lei, Wenqiang PB ACM YR 2023 K1 automated music labeling K1 music searching K1 user comments K1 Computing methodologies K1 Artificial intelligence K1 Natural language processing K1 Information extraction K1 Information systems K1 Information retrieval K1 Specialized information retrieval K1 Multimedia and multimodal retrieval K1 Music retrieval SP 6223 OP 6233 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3581783.3613750 DO https://dl.acm.org/doi/10.1145/3581783.3613750 SF ELIB - SuUB Bremen
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