http://www.bibsonomy.org/burst/user/hotho/relation+toreadBibSonomy BuRST Feed for /user/hotho/relation+toread2008-07-26T21:24:46+02:00Semantic feature production norms for a large set ...[Behav Res Methods. 2005] - PubMed Resulthttp://www.bibsonomy.org/bibtex/2936af12b025e37b0a6aac6bc103f58a3/hothohotho2008-05-08T12:17:01+02:00relation dataset semantic grounding toread ontology ol <span style="color:#555555;">K <a href="http://www.bibsonomy.org/author/McRae">McRae</a> and G S <a href="http://www.bibsonomy.org/author/Cree">Cree</a> and M S <a href="http://www.bibsonomy.org/author/Seidenberg">Seidenberg</a> and C <a href="http://www.bibsonomy.org/author/McNorgan">McNorgan</a> </span><em>Behav Res Methods</em><em>37(4):547-559</em><em>Nov2005. </em>Thu May 08 12:17:01 CEST 2008Behav Res MethodsNov4547-559Semantic feature production norms for a large set of living and nonliving things372005relation dataset semantic grounding toread ontology ol Semantic features have provided insight into numerous behavioral phenomena concerning concepts, categorization, and semantic memory in adults, children, and neuropsychological populations. Numerous theories and models in these areas are based on representations and computations involving semantic features. Consequently, empirically derived semantic feature production norms have played, and continue to play, a highly useful role in these domains. This article describes a set of feature norms collected from approximately 725 participants for 541 living (dog) and nonliving (chair) basic-level concepts, the largest such set of norms developed to date. This article describes the norms and numerous statistics associated with them. Our aim is to make these norms available to facilitate other research, while obviating the need to repeat the labor-intensive methods involved in collecting and analyzing such norms. The full set of norms may be downloaded from www.psychonomic.org/archive.http://www.bibsonomy.org/bibtex/269e2126f99c29bda2c747bf6aceaaa8f/hothohotho2007-06-04T16:40:42+02:00relation toread extraction network social <span style="color:#555555;">YingZi <a href="http://www.bibsonomy.org/author/Jin">Jin</a> and Yutaka <a href="http://www.bibsonomy.org/author/Matsuo">Matsuo</a> and Mitsuru <a href="http://www.bibsonomy.org/author/Ishizuka">Ishizuka</a> </span><em>Proceedings of the European Semantic Web Conference, ESWC2007, </em><em>volume4519ofLecture Notes in Computer Science, </em><em>Springer-Verlag, </em><em>July2007. </em>Mon Jun 04 16:40:42 CEST 2007Proceedings of the European Semantic Web Conference, ESWC2007JulyLecture Notes in Computer Science{Extracting Social Networks among Various Entities on the Web}45192007relation toread extraction network social