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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...15 Hits 1 – 20 of 289 1 DWUG ES: Diachronic Word Usage Graphs for Spanish ... Zamora-Reina, Frank D.; Bravo-Marquez, Felipe; Schlechtweg, Dominik. - : Zenodo, 2022 BASE Show details 2 DWUG ES: Diachronic Word Usage Graphs for Spanish ... Zamora-Reina, Frank D.; Bravo-Marquez, Felipe; Schlechtweg, Dominik. - : Zenodo, 2022 BASE Show details 3 DWUG ES: Diachronic Word Usage Graphs for Spanish ... Zamora-Reina, Frank D.; Bravo-Marquez, Felipe; Schlechtweg, Dominik. - : Zenodo, 2022 BASE Show details 4 DWUG ES: Diachronic Word Usage Graphs for Spanish ... Zamora-Reina, Frank D.; Bravo-Marquez, Felipe; Schlechtweg, Dominik. - : Zenodo, 2022 BASE Show details 5 DWUG ES: Diachronic Word Usage Graphs for Spanish ... Zamora-Reina, Frank D.; Bravo-Marquez, Felipe; Schlechtweg, Dominik. - : Zenodo, 2022 BASE Show details 6 DWUG ES: Diachronic Word Usage Graphs for Spanish ... Zamora-Reina, Frank D.; Bravo-Marquez, Felipe; Schlechtweg, Dominik. - : Zenodo, 2022 BASE Show details 7 Analyzing COVID-19 Medical Papers Using Artificial Intelligence: Insights for Researchers and Medical Professionals Dmitry Soshnikov; Tatiana Petrova; Vickie Soshnikova; Andrey Grunin In: Big Data and Cognitive Computing; Volume 6; Issue 1; Pages: 4 (2022) BASE Show details 8 Towards a theoretical understanding of word and relation representation Allen, Carl S.. - : The University of Edinburgh, 2022 BASE Show details 9 Representation of Explanations of Possibilistic Inference Decisions BAAJ, Ismaïl; Poli, Jean-Philippe; Ouerdane, Wassila; Maudet, Nicolas In: Symbolic and Quantitative Approaches to Reasoning with Uncertainty ; ECSQARU 2021: European Conference on Symbolic and Quantitative Approaches with Uncertainty ; https://hal-cea.archives-ouvertes.fr/cea-03406884 ; ECSQARU 2021: European Conference on Symbolic and Quantitative Approaches with Uncertainty, Sep 2021, Prague, Czech Republic. pp.513-527, ⟨10.1007/978-3-030-86772-0_37⟩ (2021) Abstract: International audience ; In this paper, we study how to explain to end-users the inference results of possibilistic rule-based systems. We formulate a necessary and sufficient condition for justifying by a relevant subset of rule premises the possibility degree of each output attribute value. We apply functions to reduce the selected premises, in order to form two kinds of explanations: the justification and the unexpectedness of the possibility degree of an output attribute value. The justification is composed of possibilistic expressions that are sufficient to justify the possibility degree of the output attribute value. The unexpectedness is a set of possible or certain possibilistic expressions, which are not involved in the determination of the considered inference result although there may appear to be a potential incompatibility between them and the considered inference result.We then define a representation of explanations of possibilistic inference decisions that relies on conceptual graphs and may be the input of natural language generation systems. Our extracted justification and unexpectedness are represented by nested conceptual graphs. All our constructions are illustrated with an example of a possibilistic rule-based system that controls the blood sugar level of a patient with type 1 diabetes. Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]; artificial intelligence; Conceptual graphs; Explainable artificial intelligence; Machine learning; Possibility theory; Rule-based system URL: https://hal-cea.archives-ouvertes.fr/cea-03406884/file/ECSQARU_camera_ready_2021___Representation_of_Explanations_Of_Possibilistic_Inference_Decisions%20%282%29.pdf https://doi.org/10.1007/978-3-030-86772-0_37 https://hal-cea.archives-ouvertes.fr/cea-03406884/document https://hal-cea.archives-ouvertes.fr/cea-03406884 BASE Hide details 10 Injecting Inductive Biases into Distributed Representations of Text ... Prokhorov, Victor. - : Apollo - University of Cambridge Repository, 2021 BASE Show details 11 Querying knowledge graphs in natural language ... Liang, Shiqi; Stockinger, Kurt; De Farias, Tarcisio Mendes. - : Springer, 2021 BASE Show details 12 Graphs, Computation, and Language ... Ustalov, Dmitry. - : Zenodo, 2021 BASE Show details 13 DWUG SV: Diachronic Word Usage Graphs for Swedish ... Tahmasebi, Nina; Hengchen, Simon; Schlechtweg, Dominik. - : Zenodo, 2021 BASE Show details 14 DWUG SV: Diachronic Word Usage Graphs for Swedish ... Tahmasebi, Nina; Hengchen, Simon; Schlechtweg, Dominik. - : Zenodo, 2021 BASE Show details 15 DWUG DE: Diachronic Word Usage Graphs for German ... Schlechtweg, Dominik; McGillivray, Barbara; Hengchen, Simon. - : Zenodo, 2021 BASE Show details 16 RefWUG: Diachronic Reference Word Usage Graphs for German ... Schlechtweg, Dominik; Schulte im Walde, Sabine. - : Zenodo, 2021 BASE Show details 17 DWUG EN: Diachronic Word Usage Graphs for English ... Schlechtweg, Dominik; Dubossarsky, Haim; Hengchen, Simon. - : Zenodo, 2021 BASE Show details 18 Αναγνώριση νοηματικής γλώσσας με τεχνικές βαθιάς μηχανικής μάθησης ... : Deep learning based sign language recognition ... Parelli, Maria. - : National Technological University of Athens, 2021 BASE Show details 19 Graphs, Computation, and Language ... Ustalov, Dmitry. - : Zenodo, 2021 BASE Show details 20 RefWUG: Diachronic Reference Word Usage Graphs for German ... Schlechtweg, Dominik; Schulte im Walde, Sabine. - : Zenodo, 2021 BASE Show details Page: 1 2 3 4 5...15

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