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  1. Vegupatti, Mani [Author]; Nickles, Matthias [Author]; Chakravarthi, Bharathi Raja [Author]

    Simple Question Answering Over a Domain-Specific Knowledge Graph using BERT by Transfer Learning

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    2020

    Published in: AIAI Irish Conference on Artificial Intelligence and Cognitive Science (28. : 2020 : Online): AICS 2020: Artificial Intelligence and Cognitive Science ; (2020), Seite 289-300

  2. Bobillo, Fernando [Author] ; Carvalho, Rommel N. [Editor]; Costa, Paulo C.G [Editor]; d’Amato, Claudia [Editor]; Fanizzi, Nicola [Editor]; Laskey, Kathryn B. [Editor]; Laskey, Kenneth J. [Editor]; Lukasiewicz, Thomas [Other]; Nickles, Matthias [Editor]; Pool, Michael [Editor]

    Uncertainty Reasoning for the Semantic Web III : ISWC International Workshops, URSW 2011-2013, Revised Selected Papers

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    Cham [u.a.]: Springer, 2014

    Published in: Lecture notes in computer science ; 8816

  3. Bobillo, Fernando [Author] ; Costa, Paulo C. G. [Other]; d’Amato, Claudia [Other]; Fanizzi, Nicola [Other]; Laskey, Kathryn B. [Other]; Laskey, Kenneth J. [Other]; Lukasiewicz, Thomas [Other]; Nickles, Matthias [Other]; Pool, Michael [Other]

    Uncertainty Reasoning for the Semantic Web II : International Workshops URSW 2008-2010 Held at ISWC and UniDL 2010 Held at FLoC, Revised Selected Papers

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    Berlin, Heidelberg: Springer, 2013

    Published in: Lecture notes in computer science ; 7123

  4. Carbonell, Jaime G. [Other]; Siekmann, Jörg [Other]; Costa, Paulo Cesar G. [Other]; d’Amato, Claudia [Other]; Fanizzi, Nicola [Other]; Laskey, Kathryn B. [Other]; Laskey, Kenneth J. [Other]; Lukasiewicz, Thomas [Other]; Nickles, Matthias [Other]; Pool, Michael [Other]

    Uncertainty Reasoning for the Semantic Web I : ISWC International Workshops, URSW 2005-2007, Revised Selected and Invited Papers

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    Berlin, Heidelberg: Springer Berlin Heidelberg, 2008

    Published in: Lecture notes in computer science ; 5327

  5. Nickles, Matthias

    Proceedings 36th International Conference on Logic Programming (Technical Communications) : Sampling-Based SAT/ASP Multi-Model Optimization as a Framework for Probabilistic Inference (Extended Abstract) : Sampling-Based SAT/ASP Multi-Model Optimization as a Framework for Probabilistic Inference (Extended Abstract)

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    Open Publishing Association, 2020

    Published in: Electronic Proceedings in Theoretical Computer Science, 325 (2020), Seite 278-279