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31 Publications


2022 | Conference Paper | LibreCat-ID: 33739 | OA
A. Bondarenko et al., “CausalQA: A Benchmark for Causal Question Answering,” in Proceedings of the 29th International Conference on Computational Linguistics, 2022, pp. 3296–3308.
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2022 | Journal Article | LibreCat-ID: 29851 | OA
S. Pestryakova et al., “CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications,” Scientific Data, 2022.
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2022 | Conference Paper | LibreCat-ID: 33957
S. Deppe, L. Brandt, M. Brünninghaus, J. Papenkordt, S. Heindorf, and G. Tschirner-Vinke, “AI-Based Assistance System for Manufacturing.” 2022, doi: 10.1109/ETFA52439.2022.9921520.
LibreCat | Files available | DOI
 

2022 | Book Chapter | LibreCat-ID: 33740 | OA
N. J. KOUAGOU, S. Heindorf, C. Demir, and A.-C. Ngonga Ngomo, “Learning Concept Lengths Accelerates Concept Learning in ALC,” in The Semantic Web, Cham: Springer International Publishing, 2022.
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2021 | Conference Paper | LibreCat-ID: 29291 | OA
H. M. A. Zahera, S. Heindorf, and A.-C. Ngonga Ngomo, “ASSET: A Semi-supervised Approach for Entity Typing in Knowledge Graphs,” 2021, doi: 10.1145/3460210.3493563.
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2021 | Book Chapter | LibreCat-ID: 29292 | OA
R. Feldhans et al., “Drift Detection in Text Data with Document Embeddings,” in Intelligent Data Engineering and Automated Learning – IDEAL 2021, Cham: Springer International Publishing, 2021.
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2021 | Conference Paper | LibreCat-ID: 29287 | OA
C. Demir, D. Moussallem, S. Heindorf, and A.-C. Ngonga Ngomo, “Convolutional Hypercomplex Embeddings for Link Prediction,” 2021.
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2021 | Conference Paper | LibreCat-ID: 29294 | OA
T. Nickchen, S. Heindorf, and G. Engels, “Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts,” 2021, doi: 10.1109/wacv48630.2021.00204.
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2021 | Patent | LibreCat-ID: 33733 | OA
S. Heindorf, “Automatically generating instructions from tutorials for search and user navigation.” 2021.
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2020 | Conference Paper | LibreCat-ID: 20141 | OA
S. Heindorf, Y. Scholten, H. Wachsmuth, A.-C. Ngonga Ngomo, and M. Potthast, “CauseNet: Towards a Causality Graph Extracted from the Web,” in Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020, pp. 3023–3030, doi: 10.1145/3340531.3412763.
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