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Conditional Random Fields For Local Adaptive Reference Extraction, , , и . Proceedings of LWA2010 - Workshop-Woche: Lernen, Wissen & Adaptivitaet, Kassel, Germany, (2010)Machine learning architectures for scalable and reliable subject indexing. Research and Advanced Technology for Digital Libraries, стр. 644--647. Cham, Springer, (сентября 2017)On H-Topological Intersection Graphs., , , и . WG, том 10520 из Lecture Notes in Computer Science, стр. 167-179. Springer, (2017)Segmentation of References with Skip-Chain Conditional Random Fields for Consistent Label Transitions, , , и . Workshop Notes of the LWA 2011 - Learning, Knowledge, Adaptation, (2011)Stacked Conditional Random Fields Exploiting Structural Consistencies, , , , и . Proceedings of 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM), стр. 240-248. Vilamoura, Algarve, Portugal, SciTePress, (6-8 02 2012)Machine Learning Architectures for Scalable and Reliable Subject Indexing - Fusion, Knowledge Transfer, and Confidence.. TPDL, том 10450 из Lecture Notes in Computer Science, стр. 644-647. Springer, (2017)UIMA Ruta: Rapid development of rule-based information extraction applications., , , , и . Natural Language Engineering, 22 (1): 1-40 (2016)Descriptor-Invariant Fusion Architectures for Automatic Subject Indexing., и . JCDL, стр. 31-40. IEEE Computer Society, (2017)Conditional Random Fields for Local Adaptive Reference Extraction. (2010)Three Handwriting Adaptation Approaches for Digit Recognition., , и . LWA, стр. 180-183. Universitätsbibliothek Bamberg, (2013)