000196223 001__ 196223
000196223 005__ 20190316235833.0
000196223 037__ $$aCONF
000196223 245__ $$aA Cognitive Reference Based Model for Learning Compositional Hierarchies with Whole-Composite Tags
000196223 269__ $$a2013
000196223 260__ $$c2013
000196223 336__ $$aConference Papers
000196223 520__ $$aA compositional hierarchy is the default organization of knowledge acquired for the purpose of specifying the design requirements of a service. Existing methods for learning compositional hierarchies from natural language text, interpret composition as an exclusively propositional form of part-whole relations. Nevertheless, the lexico-syntactic patterns used to identify the occurrence of part-whole relations fail to decode the experientially grounded information, which is very often embedded in various acts of natural language expression, e.g. construction and delivery. The basic idea is to take a situated view of conceptualization and model composition as the cognitive act of invoking one category to refer to another. Mutually interdependent set of categories are considered conceptually inseparable and assigned an independent level of abstraction in the hierarchy. Presence of such levels in the compositional hierarchy highlight the need to model these categories as a unified-whole wherein they can only be characterized in the context of the behavior of the set as a whole. We adopt an object-oriented representation approach that models categories as entities and relations as cognitive references inferred from syntactic dependencies. The resulting digraph is then analyzed for cyclic references, which are resolved by introducing an additional level of abstraction for each cycle.
000196223 6531_ $$aService design
000196223 6531_ $$aPart-whole relations
000196223 6531_ $$aSituated conceptualization
000196223 6531_ $$aLinguistic markers
000196223 6531_ $$aDigraph analysis
000196223 700__ $$aSaxena, Anshuman
000196223 700__ $$0241922$$g112464$$aWegmann, Alain
000196223 700__ $$aBindal, Ashish Kishore$$g212968$$0(EPFLAUTH)212968
000196223 7112_ $$dSeptember 19-22, 2013$$cVilamoura, Algarve Portugal$$aInternational Conference on Knowledge Discovery and Information Retrieval (KDIR-IC3K)
000196223 8564_ $$uhttps://infoscience.epfl.ch/record/196223/files/20130610KDIR_cameraReady.pdf$$zn/a$$s508226$$yn/a
000196223 909C0 $$xU10412$$0252193$$pLAMS
000196223 909CO $$qGLOBAL_SET$$pconf$$ooai:infoscience.tind.io:196223$$pIC
000196223 917Z8 $$x188860
000196223 917Z8 $$x212968
000196223 937__ $$aEPFL-CONF-196223
000196223 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000196223 980__ $$aCONF