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dc.contributor.author Rubino, Francesco
dc.contributor.author Caselli, Tommaso
dc.contributor.author Frontini, Francesca
dc.contributor.author Quochi, Valeria
dc.date.accessioned 2018-09-13T08:17:06Z
dc.date.available 2018-09-13T08:17:06Z
dc.date.issued 2012-12-10
dc.identifier.uri http://hdl.handle.net/20.500.11752/ILC-90
dc.description The 'SCF Extractor (language independent)' is a service that performs inductive subcategorisation extraction from dependency parsed texts, formatted according to the CoNLL-X format. The SCF Extractor tool was developed at CNR-ILC and deployed as a soap web service within the EU-FP7-STREP PANACEA project (www.panacea-lr.eu). This version of the tool/service was not optimized for any language.; it requires 2 input data: 1) a dependency parsed text corpus the CONLL-X format; 2) a list of verb lemmas for which the subcategorization frames will be extracted.
dc.publisher Istituto di Linguistica Computazionale “A. Zampolli” - Consiglio Nazionale delle Ricerche (ILC-CNR)
dc.relation info:eu-repo/grantAgreement/EC/FP7/248064
dc.relation.isreferencedby http://www.lrec-conf.org/proceedings/lrec2012/summaries/390.html
dc.source.uri http://www.panacea-lr.eu/system/deliverables/PANACEA_D6.2.pdf
dc.subject Subcategorisation frames extraction
dc.subject Automatic lexical acquisition
dc.subject CoNLL-X input format
dc.title SCF Extractor (language indipendent)
dc.type toolService
metashare.ResourceInfo#ContentInfo.detailedType service
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent false
has.files no
branding ILC
demo.uri https://ilc4clarin.ilc.cnr.it/en/services/scf-extractor-language-indipendent
contact.person Valeria Quochi risorse@ilc.cnr.it Istituto di Linguistica Computazionale “A. Zampolli” - Consiglio Nazionale delle Ricerche (ILC-CNR)
sponsor European Union EC/FP7/248064 PANACEA - Platform for Automatic, Normalized Annotation and Cost-Effective Acquisition of Language Resources for Human Language Technologies euFunds info:eu-repo/grantAgreement/EC/FP7/248064
files.size 0
files.count 0


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