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1
Knowledge Representation and Reasoning with an Extended Dynamic Uncertain Causality Graph under the Pythagorean Uncertain Linguistic Environment
In: Applied Sciences; Volume 12; Issue 9; Pages: 4670 (2022)
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2
Using Peircean Semiotics as the Grounding of Cognition
In: Proceedings; Volume 81; Issue 1; Pages: 135 (2022)
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3
Formalization of AMR Inference via Hybrid Logic Tableaux ...
Goldner, Eli Tecumseh. - : Brandeis University, 2022
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4
Ranking Semantics for Argumentation Systems With Necessities
In: IJCAI 2020 - 29th International Joint Conference on Artificial Intelligence ; https://hal.archives-ouvertes.fr/hal-03002056 ; IJCAI 2020 - 29th International Joint Conference on Artificial Intelligence, Jan 2021, Yokohama / Virtual, Japan. pp.1912-1918, ⟨10.24963/ijcai.2020/265⟩ (2021)
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5
The contribution of visual articulatory gestures and orthography to speech processing: Evidence from novel word learning
In: ISSN: 0278-7393 ; EISSN: 1939-1285 ; Journal of Experimental Psychology: Learning, Memory, and Cognition ; https://hal.archives-ouvertes.fr/hal-03189083 ; Journal of Experimental Psychology: Learning, Memory, and Cognition, American Psychological Association, In press, ⟨10.1037/xlm0001036⟩ (2021)
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6
Managing interpersonal discourse expectations: a comparative analysis of contrastive discourse particles in Dutch
In: Linguistics. - Berlin [u.a.] : Mouton de Gruyter 59 (2021) 2, 333-360
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7
SANKAT PRADATA AUR JANATA. ...
Tomar, Neetusingh. - : figshare, 2021
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8
SANKAT PRADATA AUR JANATA. ...
Tomar, Neetusingh. - : figshare, 2021
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9
APiCS-Ligt: Towards Semantic Enrichment of Interlinear Glossed Text ...
Ionov, Maxim. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021
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10
Essential Features in a Theory of Context for Enabling Artificial General Intelligence
In: Applied Sciences; Volume 11; Issue 24; Pages: 11991 (2021)
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11
Enriching Word Embeddings with Food Knowledge for Ingredient Retrieval ...
Samagaio, Álvaro Mendes; Lopes Cardoso, Henrique; Ribeiro, David. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021
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12
The JeuxDeMots Project (Invited Talk) ...
Lafourcade, Mathieu. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021
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13
An Ontology for CoNLL-RDF: Formal Data Structures for TSV Formats in Language Technology ...
Chiarcos, Christian; Ionov, Maxim; Glaser, Luis. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021
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14
Semantic Description of Plant Phenological Development Stages, starting with Grapevine
In: ISSN: 1865-0929 ; Communications in Computer and Information Science ; Communications in Computer and Information Science (CCIS) ; 14th international conference on Metadata and Semantics Research Conference (MTSR) ; https://hal.archives-ouvertes.fr/hal-02996846 ; 14th international conference on Metadata and Semantics Research Conference (MTSR), Dec 2020, Madrid, Spain. pp.257-268, ⟨10.1007/978-3-030-71903-6_25⟩ ; http://www.mtsr-conf.org/home (2020)
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15
Strengths of Fuzzy Techniques in Data Science
In: Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy, etc. Methods and Their Applications ; https://hal.sorbonne-universite.fr/hal-01676195 ; Kosheleva, O.; Shary, S.P.; Xiang, G.; Zapatrin, R. Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy, etc. Methods and Their Applications, 835, Springer, pp.111-119, 2020, Studies in Computational Intelligence, 978-3-030-31041-7. ⟨10.1007/978-3-030-31041-7_6⟩ (2020)
Abstract: International audience ; We show that many existing fuzzy methods for machine learning and data mining contribute to providing solutions to data science challenges, even though statistical approaches are often presented as major tools to cope with big data and modern user expectations of their exploitation. The multiple capacities of fuzzy and related knowledge representation methods make them inescapable to deal with various types of uncertainty inherent in all kinds of data.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.4: Knowledge Representation Formalisms and Methods; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning/I.2.6.4: Knowledge acquisition; Data science; fuzzy knowledge representation; fuzzy technique; linguistic summary; similarity; uncertainty
URL: https://hal.sorbonne-universite.fr/hal-01676195/file/ArticleVladik2017_3.pdf
https://hal.sorbonne-universite.fr/hal-01676195/document
https://hal.sorbonne-universite.fr/hal-01676195
https://doi.org/10.1007/978-3-030-31041-7_6
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16
Reasoning with Ontologies
In: A Guided Tour of Artificial Intelligence Research ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-02922020 ; A Guided Tour of Artificial Intelligence Research, pp.185-215, 2020, Volume I: Knowledge Representation, Reasoning and Learning, 978-3-030-06163-0. ⟨10.1007/978-3-030-06164-7_6⟩ (2020)
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17
Semantic hypergraph corpus SemCRO 1.0
Vasić, Daniel; Žitko, Branko; Gašpar, Angelina. - : University of Mostar, 2020. : University of Split, 2020. : Jožef Stefan Institute, 2020
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18
Defying Wikidata: Validation of terminological relations in the web of data
Martín-Chozas, Patricia; Montiel-Ponsoda, Elena; Ahmadi, Sina. - : National University of Ireland Galway, 2020
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19
Opinion Mining in Higher Education: A Corpus-Based Approach (Supplementary material) ...
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20
Parsing Science - Picking Apart Conspiracy Theories ...
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