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Scaling Address Parsing Sequence Models through Active Lear..:

, In: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems,

Craig, Helen ; Yankov, Dragomir ; Wang, Renzhong.. - p. 424-427 , 2019

Link: https://dl.acm.org/doi/10.1145/3347146.3359070

RT 
T1 <cTitle>Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems</cTitle>: T1 <Title>Scaling Address Parsing Sequence Models through Active Learning</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3359070&Exemplar=1&LAN=DE
				
A1 Craig, Helen
A1 Yankov, Dragomir
A1 Wang, Renzhong
A1 Berkhin, Pavel
A1 Wu, Wei
PB ACM
YR 2019
K1 active learning
K1 address tagging
K1 geocoding
K1 map search
K1 neural networks
K1 query intent
K1 sequence models
K1 Information systems
K1 Information systems applications
K1 Spatial-temporal systems
K1 Geographic information systems
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Active learning
K1 Information retrieval
K1 Information retrieval query processing
K1 Query intent
SP 424
OP 427
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3347146.3359070
DO https://dl.acm.org/doi/10.1145/3347146.3359070
SF ELIB - SuUB Bremen

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