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Fast Attention-based Learning-To-Rank Model for Structured ..:
, In:
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Zhang, Chiqun
;
Evans, Michael R.
;
Lepikhin, Max
. - p. 942-951 , 2021
Link:
https://dl.acm.org/doi/10.1145/3404835.3462904
RT T1 <cTitle>Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval</cTitle>: T1 <Title>Fast Attention-based Learning-To-Rank Model for Structured Map Search</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3462904&Exemplar=1&LAN=DE A1 Zhang, Chiqun A1 Evans, Michael R. A1 Lepikhin, Max A1 Yankov, Dragomir PB ACM YR 2021 K1 geocoding K1 information retrieval K1 language understanding K1 map search K1 ranking system K1 Information systems K1 Information retrieval K1 Specialized information retrieval K1 Structure and multilingual text search K1 Structured text search K1 Retrieval models and ranking K1 Learning to rank SP 942 OP 951 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3404835.3462904 DO https://dl.acm.org/doi/10.1145/3404835.3462904 SF ELIB - SuUB Bremen
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