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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
Abstract: In this paper we introduce the ttcs system, so named after Terms To Conceptual Spaces, that exploits a resource-driven approach relying on BabelNet, NASARI and ConceptNet. ttcs takes in input a term and its context of usage and produces as output a specific type of vector-based semantic representation, where conceptual information is encoded through the Conceptual Spaces (a geometric framework for common-sense knowledge representation and reasoning). The system has been evaluated in a twofold experimentation. In the first case we assessed the quality of the extracted common-sense conceptual information with respect to human judgments with an online questionnaire. In the second one we compared the performances of a conceptual categorization system that was run twice, once fed with extracted annotations and once with hand-crafted annotations. In both cases the results are encouraging and provide precious insights to make substantial improvements.
URL: https://doi.org/10.1007/978-3-319-49130-1
http://link.springer.com/chapter/10.1007/978-3-319-49130-1_32
http://hdl.handle.net/2318/1630845
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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
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