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Powerful semantics can make language processing more robust

dc.contributor.authorSteels, Luc
dc.contributor.editorHeiß, Hans-Ulrich
dc.contributor.editorPepper, Peter
dc.contributor.editorSchlingloff, Holger
dc.contributor.editorSchneider, Jörg
dc.date.accessioned2018-11-27T10:00:16Z
dc.date.available2018-11-27T10:00:16Z
dc.date.issued2011
dc.description.abstractHuman language is an inferential coding system which means that not all information to interpret an utterance is explicitly communicated, it must be inferred. Moreover the meaning of human language passes by intermediary of rich conceptualizations of the world which are culture and language dependent. These two features make natural language processing very difficult and introduce a glass ceiling for statistical language processing. This talk describes a computational framework for embodied cognitive semantics that is grounded in the sensori-motor intelligence of (humanoid) robots. We have used this in language game experiments that examine how open-ended robust language processing is possible by exploiting as much as possible meaning. Concrete examples are given of cognitive functions needed in conceptualization, the representation of spatial and temporal categories, the configuration of new conceptualization strategies by recruiting cognitive functions, and the mapping of conceptualization to language.en
dc.identifier.isbn978-88579-286-4
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/18826
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2011 – Informatik schafft Communities
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-192
dc.titlePowerful semantics can make language processing more robusten
dc.typeText/Conference Paper
gi.citation.endPage42
gi.citation.publisherPlaceBonn
gi.citation.startPage42
gi.conference.date4.-7. Oktober 2011
gi.conference.locationBerlin
gi.conference.sessiontitleRegular Research Papers

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