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Extracting Complex Named Entities in Legal Documents via We..:
, In:
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Yang, Hsiu-Wei
;
Agrawal, Abhinav
- p. 3349-3353 , 2023
Link:
https://dl.acm.org/doi/10.1145/3539618.3591852
RT T1 <cTitle>Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval</cTitle>: T1 <Title>Extracting Complex Named Entities in Legal Documents via Weakly Supervised Object Detection</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3591852&Exemplar=1&LAN=DE A1 Yang, Hsiu-Wei A1 Agrawal, Abhinav PB ACM YR 2023 K1 complex named entity recognition K1 document understanding K1 information extraction K1 law K1 weakly supervised object detection K1 Applied computing K1 Law, social and behavioral sciences K1 Law K1 Computing methodologies K1 Artificial intelligence K1 Natural language processing K1 Information extraction K1 Information systems K1 Information retrieval K1 Document representation K1 Document structure SP 3349 OP 3353 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3539618.3591852 DO https://dl.acm.org/doi/10.1145/3539618.3591852 SF ELIB - SuUB Bremen
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