--- abstract: 'This paper presents a computational model of the incremental construction of an associative network from a corpus. It is aimed at modeling the development of the human semantic memory. It is not based on a vector representation, which does not well reproduce the asymmetrical property of word similarity, but rather on a network representation. Compared to Latent Semantic Analysis, it is incremental which is cognitively more plausible. It is also an attempt to take into account higher-order co-occurrences in the construction of word similarities. This model was compared to children association norms. A good correlation as well as a similar gradient of similarity were found.' altloc: - http://www.upmf-grenoble.fr/sciedu/blemaire/cogsci04_2.pdf chapter: ~ commentary: ~ commref: ~ confdates: 'August 5-7, 2004' conference: 26th Annual Meeting of the Cognitive Science Society confloc: Chicago contact_email: ~ creators_id: [] creators_name: - family: Lemaire given: Benoît honourific: '' lineage: '' - family: Denhière given: Guy honourific: '' lineage: '' date: 2004 date_type: published datestamp: 2004-08-25 department: ~ dir: disk0/00/00/37/79 edit_lock_since: ~ edit_lock_until: ~ edit_lock_user: ~ editors_id: [] editors_name: - family: Forbus given: Kenneth honourific: '' lineage: '' - family: Gentner given: Dedre honourific: '' lineage: '' - family: Regier given: Terry honourific: '' lineage: '' eprint_status: archive eprintid: 3779 fileinfo: /style/images/fileicons/application_pdf.png;/3779/1/cogsci04_2.pdf full_text_status: public importid: ~ institution: ~ isbn: ~ ispublished: pub issn: ~ item_issues_comment: [] item_issues_count: 0 item_issues_description: [] item_issues_id: [] item_issues_reported_by: [] item_issues_resolved_by: [] item_issues_status: [] item_issues_timestamp: [] item_issues_type: [] keywords: 'associative network, corpus, semantic memory, LSA, Latent Semantic Analysis' lastmod: 2011-03-11 08:55:40 latitude: ~ longitude: ~ metadata_visibility: show note: ~ number: ~ pagerange: 825-830 pubdom: FALSE publication: ~ publisher: Lawrence Erlbaum Associates refereed: TRUE referencetext: |- Burgess, C. 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W., Schreiner, M. E., Rehder, B., Laham, D., Foltz, P. W., Kintsch & W., Landauer, T. K. (1998).Learning from text: Matching readers and texts by Latent Semantic Analysis. Discourse Processes, 25, 309-336. relation_type: [] relation_uri: [] reportno: ~ rev_number: 12 series: ~ source: ~ status_changed: 2007-09-12 16:53:26 subjects: - comp-sci-stat-model - comp-sci-mach-learn - psy-ling succeeds: ~ suggestions: ~ sword_depositor: ~ sword_slug: ~ thesistype: ~ title: Incremental Construction of an Associative Network from a Corpus type: confpaper userid: 4300 volume: ~