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10 Publications


2024 | Conference Paper | LibreCat-ID: 52231 | OA
Blübaum, Lukas, and Stefan Heindorf. “Causal Question Answering with Reinforcement Learning.” The World Wide Web Conference (WWW), ACM.
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2023 | Conference Paper | LibreCat-ID: 33734 | OA
KOUAGOU, N’Dah Jean, et al. “Neural Class Expression Synthesis.” The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), edited by Catia Pesquita et al., vol. 13870, Springer International Publishing, 2023, pp. 209–26, doi:https://doi.org/10.1007/978-3-031-33455-9_13.
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2023 | Preprint | LibreCat-ID: 37937
Sieger, Leonie Nora, et al. “Counterfactual Explanations for Concepts in ELH.” ArXiv:2301.05109, 2023.
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2023 | Conference Paper | LibreCat-ID: 46575 | OA
Baci, Alkid, and Stefan Heindorf. “Accelerating Concept Learning via Sampling.” CIKM, 2023.
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2023 | Book Chapter | LibreCat-ID: 47421
Kouagou, N’Dah Jean, et al. “Neural Class Expression Synthesis in ALCHIQ(D).” Machine Learning and Knowledge Discovery in Databases: Research Track, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-43421-1_12.
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2023 | Book Chapter | LibreCat-ID: 46460
Ngonga Ngomo, Axel-Cyrille, et al. “Class Expression Learning with Multiple Representations.” Compendium of Neurosymbolic Artificial Intelligence, IOS Press, 2023, pp. 272–286.
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2023 | Journal Article | LibreCat-ID: 46248 | OA
Demir, Caglar, et al. “LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals.” ECML PKDD, 2023.
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2022 | Conference Paper | LibreCat-ID: 34674
Sieger, Leonie Nora, et al. “User Involvement in Training Smart Home Agents.” International Conference on Human-Agent Interaction, ACM, 2022, doi:10.1145/3527188.3561914.
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2022 | Conference Paper | LibreCat-ID: 33739 | OA
Bondarenko, Alexander, et al. “CausalQA: A Benchmark for Causal Question Answering.” Proceedings of the 29th International Conference on Computational Linguistics, International Committee on Computational Linguistics, 2022, pp. 3296–3308.
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2022 | Book Chapter | LibreCat-ID: 33740 | OA
KOUAGOU, N’Dah Jean, et al. “Learning Concept Lengths Accelerates Concept Learning in ALC.” The Semantic Web, Springer International Publishing, 2022, doi:10.1007/978-3-031-06981-9_14.
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