Matches in SemOpenAlex for { <https://semopenalex.org/work/W2968889688> ?p ?o ?g. }
- W2968889688 endingPage "21" @default.
- W2968889688 startingPage "1" @default.
- W2968889688 abstract "Most semantic models employed in human-robot interactions concern how a robot can understand commands, but in this article the aim is to present a framework that allows dialogic interaction. The key idea is to use events as the fundamental structures for the semantic representations of a robot. Events are modeled in terms of conceptual spaces and mappings between spaces. It is shown how the semantics of major word classes can be described with the aid of conceptual spaces in a way that is amenable to computer implementations. An event is represented by two vectors, one force vector representing an action and one result vector representing the effect of the action. The two-vector model is then extended by the thematic roles so an event is built up from an agent, an action, a patient, and a result. It is shown how the components of an event can be put together to semantic structures that represent the meanings of sentences. It is argued that a semantic framework based on events can generate a general representational framework for human-robot communication. An implementation of the framework involving communication with an iCub will be described." @default.
- W2968889688 created "2019-08-22" @default.
- W2968889688 creator A5047434698 @default.
- W2968889688 date "2019-11-15" @default.
- W2968889688 modified "2023-10-16" @default.
- W2968889688 title "Using Event Representations to Generate Robot Semantics" @default.
- W2968889688 cites W1581290354 @default.
- W2968889688 cites W1964510595 @default.
- W2968889688 cites W1971783930 @default.
- W2968889688 cites W1991486555 @default.
- W2968889688 cites W2002906034 @default.
- W2968889688 cites W2009329295 @default.
- W2968889688 cites W2022223514 @default.
- W2968889688 cites W2023555797 @default.
- W2968889688 cites W2024405391 @default.
- W2968889688 cites W2032197604 @default.
- W2968889688 cites W2039961076 @default.
- W2968889688 cites W2045830397 @default.
- W2968889688 cites W2067551521 @default.
- W2968889688 cites W2067723064 @default.
- W2968889688 cites W2076063813 @default.
- W2968889688 cites W2077597530 @default.
- W2968889688 cites W2081919858 @default.
- W2968889688 cites W2093193545 @default.
- W2968889688 cites W2106111582 @default.
- W2968889688 cites W2118606269 @default.
- W2968889688 cites W2119582042 @default.
- W2968889688 cites W2126385963 @default.
- W2968889688 cites W2132228259 @default.
- W2968889688 cites W2134138778 @default.
- W2968889688 cites W2141086994 @default.
- W2968889688 cites W2150035595 @default.
- W2968889688 cites W2159893335 @default.
- W2968889688 cites W2166188321 @default.
- W2968889688 cites W2168356776 @default.
- W2968889688 cites W2170190023 @default.
- W2968889688 cites W2177085946 @default.
- W2968889688 cites W2220867547 @default.
- W2968889688 cites W2253555542 @default.
- W2968889688 cites W2481993644 @default.
- W2968889688 cites W2494398243 @default.
- W2968889688 cites W2525971353 @default.
- W2968889688 cites W2540761311 @default.
- W2968889688 cites W2770226957 @default.
- W2968889688 cites W2954219865 @default.
- W2968889688 cites W3005285208 @default.
- W2968889688 cites W3011309387 @default.
- W2968889688 cites W3110909889 @default.
- W2968889688 cites W4235217220 @default.
- W2968889688 cites W4238692914 @default.
- W2968889688 cites W4240791294 @default.
- W2968889688 cites W4244229854 @default.
- W2968889688 cites W4246139359 @default.
- W2968889688 cites W46490633 @default.
- W2968889688 cites W563668364 @default.
- W2968889688 doi "https://doi.org/10.1145/3341167" @default.
- W2968889688 hasPublicationYear "2019" @default.
- W2968889688 type Work @default.
- W2968889688 sameAs 2968889688 @default.
- W2968889688 citedByCount "2" @default.
- W2968889688 countsByYear W29688896882020 @default.
- W2968889688 countsByYear W29688896882021 @default.
- W2968889688 crossrefType "journal-article" @default.
- W2968889688 hasAuthorship W2968889688A5047434698 @default.
- W2968889688 hasBestOaLocation W29688896881 @default.
- W2968889688 hasConcept C105795698 @default.
- W2968889688 hasConcept C107457646 @default.
- W2968889688 hasConcept C111151474 @default.
- W2968889688 hasConcept C121332964 @default.
- W2968889688 hasConcept C154945302 @default.
- W2968889688 hasConcept C184337299 @default.
- W2968889688 hasConcept C199360897 @default.
- W2968889688 hasConcept C204321447 @default.
- W2968889688 hasConcept C26517878 @default.
- W2968889688 hasConcept C2777810175 @default.
- W2968889688 hasConcept C2779662365 @default.
- W2968889688 hasConcept C2780791683 @default.
- W2968889688 hasConcept C33923547 @default.
- W2968889688 hasConcept C38652104 @default.
- W2968889688 hasConcept C41008148 @default.
- W2968889688 hasConcept C60692881 @default.
- W2968889688 hasConcept C62520636 @default.
- W2968889688 hasConcept C90509273 @default.
- W2968889688 hasConceptScore W2968889688C105795698 @default.
- W2968889688 hasConceptScore W2968889688C107457646 @default.
- W2968889688 hasConceptScore W2968889688C111151474 @default.
- W2968889688 hasConceptScore W2968889688C121332964 @default.
- W2968889688 hasConceptScore W2968889688C154945302 @default.
- W2968889688 hasConceptScore W2968889688C184337299 @default.
- W2968889688 hasConceptScore W2968889688C199360897 @default.
- W2968889688 hasConceptScore W2968889688C204321447 @default.
- W2968889688 hasConceptScore W2968889688C26517878 @default.
- W2968889688 hasConceptScore W2968889688C2777810175 @default.
- W2968889688 hasConceptScore W2968889688C2779662365 @default.
- W2968889688 hasConceptScore W2968889688C2780791683 @default.
- W2968889688 hasConceptScore W2968889688C33923547 @default.
- W2968889688 hasConceptScore W2968889688C38652104 @default.
- W2968889688 hasConceptScore W2968889688C41008148 @default.