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Legal norm retrieval with variations of the bert model comb..:

, In: Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law,

Wehnert, Sabine ; Sudhi, Viju ; Dureja, Shipra... - p. 285-294 , 2021

Link: https://dl.acm.org/doi/10.1145/3462757.3466104

RT 
T1 <cTitle>Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law</cTitle>: T1 <Title>Legal norm retrieval with variations of the bert model combined with TF-IDF vectorization</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3466104&Exemplar=1&LAN=DE
				
A1 Wehnert, Sabine
A1 Sudhi, Viju
A1 Dureja, Shipra
A1 Kutty, Libin
A1 Shahania, Saijal
A1 De Luca, Ernesto W.
PB ACM
YR 2021
K1 contextual word embeddings
K1 data augmentation
K1 document enrichment
K1 legal information retrieval
K1 Applied computing
K1 Law, social and behavioral sciences
K1 Law
K1 Information systems
K1 Information retrieval
K1 Document representation
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
K1 Retrieval models and ranking
K1 Similarity measures
K1 Evaluation of retrieval results
K1 Relevance assessment
K1 Language models
SP 285
OP 294
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3462757.3466104
DO https://dl.acm.org/doi/10.1145/3462757.3466104
SF ELIB - SuUB Bremen

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