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1
Sense Identification Dataset - SID ...
Radicioni, Daniele P.. - : Mendeley, 2020
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Sense Identification Dataset - SID ...
Radicioni, Daniele P.. - : Mendeley, 2020
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3
Sense identification data: A dataset for lexical semantics
In: Data Brief (2020)
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4
LessLex: Linking Multilingual Embeddings to SenSe Representations of LEXical Items
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5
LessLex: Linking Multilingual Embeddings to SenSe Representations of LEXical Items
In: Computational Linguistics, Vol 46, Iss 2, Pp 289-333 (2020) (2020)
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6
COVER: a linguistic resource combining common sense and lexicographic information [<Journal>]
Mensa, Enrico [Verfasser]; Radicioni, Daniele P. [Sonstige]; Lieto, Antonio [Sonstige]
DNB Subject Category Language
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7
COVER: a linguistic resource combining common sense and lexicographic information
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8
Dual PECCS: a cognitive system for conceptual representation and categorization
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9
Taming Sense Sparsity: a Common-Sense Approach
Lieto, Antonio; Mensa, Enrico; Radicioni, Daniele P.. - : CEUR Workshop Proceedings, 2016. : country:DEU, 2016. : place:Aachen, 2016
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10
A Resource-Driven Approach for Anchoring Linguistic Resources to Conceptual Spaces
Lieto, Antonio; Mensa, Enrico; Radicioni, Daniele P.. - : Springer, 2016. : country:DEU, 2016. : place:Berlin, 2016
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11
A Common-Sense Conceptual Categorization System Integrating Heterogeneous Proxytypes and the Dual Process of Reasoning
Lieto, Antonio; Radicioni, Daniele P.; Rho, Valentina. - : AAAI Press, 2015. : country:USA, 2015. : place:Palo Alto, California, 2015
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12
A Knowledge-Based System for Prototypical Reasoning
Abstract: In this work we present a knowledge-based system equipped with a hybrid, cognitively inspired architecture for the representation of conceptual information. The proposed system aims at extending the classical representational and reasoning capabilities of the ontology-based frameworks towards the realm of the prototype theory. It is based on a hybrid knowledge base, composed of a classical symbolic component (grounded on a formal ontology) with a typicality based one (grounded on the conceptual spaces framework). The resulting system attempts to reconcile the heterogeneous approach to the concepts in Cognitive Science with the dual process theories of reasoning and rationality. The system has been experimentally assessed in a conceptual categorisation task where common sense linguistic descriptions were given in input, and the corresponding target concepts had to be identified. The results show that the proposed solution substantially extends the representational and reasoning ‘conceptual’ capabilities of standard ontology-based systems.
Keyword: conceptual spaces; knowledge representation; non monotonic reasoning; ontologies
URL: https://doi.org/10.1080/09540091.2014.956292
https://www.researchgate.net/publication/266144000_A_knowledge-based_system_for_prototypical_reasoning
http://hdl.handle.net/2318/1550432
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