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1 Ergebnisse
1
Pipelines for Procedural Information Extraction from Scient..:
, In:
2019 International Conference on Document Analysis and Recognition Workshops (ICDARW)
,
Yang, Huichen
;
Lam, Alice
;
Han, T. Yong-Jin
... - p. 41-46 , 2019
Link:
https://doi.org/10.1109/ICDARW.2019.10037
RT T1 <cTitle>2019 International Conference on Document Analysis and Recognition Workshops (ICDARW)</cTitle>: T1 <Title>Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8892913&Exemplar=1&LAN=DE A1 Yang, Huichen A1 Lam, Alice A1 Han, T. Yong-Jin A1 Buttler, David A1 Hsu, William H. A1 Aguirre, Carlos A. A1 De La Torre, Maria F. A1 Christensen, Derek A1 Bobadilla, Luis A1 Davich, Emily A1 Roth, Jordan A1 Luo, Lei A1 Theis, Yihong YR 2019 K1 Portable document format K1 Pipelines K1 Data mining K1 Machine learning K1 Payloads K1 Feature extraction K1 Tools K1 Information Extraction, Machine Learning, Natural Language Processing (NLP), Text Analysis, Metadata SP 41 OP 46 LK http://dx.doi.org/https://doi.org/10.1109/ICDARW.2019.10037 DO https://doi.org/10.1109/ICDARW.2019.10037 SF ELIB - SuUB Bremen
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