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Modelling Collocations in OntoLex-FrAC

Contributo in Atti di convegno
Data di Pubblicazione:
2022
Abstract:
Following presentations of frequency and attestations, and embeddings and distributional similarity, this paper introduces the third cornerstone of the emerging OntoLex module for Frequency, Attestation and Corpus-based Information, OntoLex-FrAC. We provide an RDF vocabulary for collocations, established as a consensus over contributions from five different institutions and numerous data sets, with the goal of eliciting feedback from reviewers, workshop audience and the scientific community in preparation of the final consolidation of the OntoLex-FrAC module, whose publication as a W3C community report is foreseen for the end of this year. The novel collocation component of OntoLex-FrAC is described in application to a lexicographic resource and corpus-based collocation scores available from the web, and finally, we demonstrate the capability and genericity of the model by showing how to retrieve and aggregate collocation information by means of SPARQL, and its export to a tabular format, so that it can be easily processed in downstream applications.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
lexical resources; standards; OntoLex; collocation analysis
Elenco autori:
Khan, ANAS FAHAD ASLAM
Autori di Ateneo:
KHAN ANAS FAHAD ASLAM
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/444084
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https://aclanthology.org/2022.gwll-1.3.pdf
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