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Filters: Author is Jan Pirklbauer  [Clear All Filters]
2023
Kroll, H., J. Pirklbauer, F. Plötzky, and W. - T. Balke, "A detailed library perspective on nearly unsupervised information extraction workflows in digital libraries", International Journal on Digital Libraries: Springer, 06/2023. Abstract
Kroll, H., J. Pirklbauer, J. - C. Kalo, M. Kunz, J. Ruthmann, and W. - T. Balke, "A discovery system for narrative query graphs: entity-interaction-aware document retrieval", International Journal on Digital Libraries: Springer, 04/2023. Abstract
2022
Kroll, H., J. Pirklbauer, F. Plötzky, and W. - T. Balke, "A Library Perspective on Nearly-Unsupervised Information Extraction Workflows in Digital Libraries", ACM/IEEE Joint Conference on Digital Libraries (JCDL), Cologne, Germany, 06/2022. Abstract  Download: JCDL2022_Kroll_A Library Perspective on Nearly-Unsupervised Information Extraction Workflows in Digital Libraries.pdf (453.2 KB)
Kroll, H., F. Plötzky, J. Pirklbauer, and W. - T. Balke, "What a Publication Tells You – Benefits of Narrative Information Access in Digital Libraries", ACM/IEEE Joint Conference on Digital Libraries (JCDL), Cologne, Germany, 06/2022. Abstract  Download: JCDL2022_Kroll_Narrative Information Access.pdf (558.89 KB)
2021
Kroll, H., J. Pirklbauer, J. - C. Kalo, M. Kunz, J. Ruthmann, and W. - T. Balke, "Narrative Query Graphs for Entity-Interaction-Aware Document Retrieval", The 23rd International Conference on Asia-Pacific Digital Libraries (ICADL), Online, Springer, 12/2021. Abstract  Download: ICADL2021_Kroll_NarrativeQueryGraphs.pdf (1.44 MB)
Kroll, H., J. Pirklbauer, and W. - T. Balke, "A Toolbox for the Nearly-Unsupervised Construction of Digital Library Knowledge Graphs", ACM/IEEE Joint Conference on Digital Libraries (JCDL), Urbana-Champaign, IL, USA, IEEE, pp. 21-30, 09/2021. Abstract  Download: JCDL2021_Kroll_Toolbox.pdf (431.38 KB)
2020
Kroll, H., J. Pirklbauer, J. Ruthmann, and W. - T. Balke, "A Semantically Enriched Dataset based on Biomedical NER for the COVID19 Open Research Dataset Challenge (Data Publication)", arXiv:2005.08823, 05/2020. Abstract  Download: ARXIV2020_Entity-Tagged_CoVid19_Dataset.pdf (374.75 KB)