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Example-based acquisition of fine-grained collocational resources

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dc.contributor.author Rodríguez Fernández, Sara
dc.contributor.author Carlini, Roberto
dc.contributor.author Espinosa-Anke, Luis
dc.contributor.author Wanner, Leo
dc.date.accessioned 2016-12-12T10:24:12Z
dc.date.available 2016-12-12T10:24:12Z
dc.date.issued 2016
dc.identifier.citation Rodríguez-Fernández S, Carlini R, Espinosa-Anke L, Wanner L. Example-based acquisition of fine-grained collocational resources. In: Calzolari N, Choukri K, Declerck T, Goggi S, Grobelnik M, Maegaard B, Mariani J, Mazo H, Moreno A, Odijk J, Piperidis S, editors. LREC 2016, Tenth International Conference on Language Resources and Evaluation; 2016 May 23-28; Portorož (Slovenia). [place unknown]: European Language Resources Association (ELRA); 2016. Session P28, Multiword expressions; p. 2317-22.
dc.identifier.uri http://hdl.handle.net/10230/27724
dc.description Comunicació presentada a la Tenth International Conference on Language Resources and Evaluation, celebrada a Portoroz (Eslovènia) els dies 23 a 28 de maig 2016.
dc.description.abstract Collocations such as heavy rain or make [a] decision, are combinations of two elements where one (the base) is freely chosen, while the/nchoice of the other (collocate) is restricted, depending on the base. Collocations present difficulties even to advanced language learners,/nwho usually struggle to find the right collocate to express a particular meaning, e.g., both heavy and strong express the meaning ‘intense’,/nbut while rain selects heavy, wind selects strong. Lexical Functions (LFs) describe the meanings that hold between the elements of/ncollocations, such as ‘intense’, ‘perform’, ‘create’, ‘increase’, etc. Language resources with semantically classified collocations would/nbe of great help for students, however they are expensive to build, since they are manually constructed, and scarce. We present an unsupervised/napproach to the acquisition and semantic classification of collocations according to LFs, based on word embeddings in which,/ngiven an example of a collocation for each of the target LFs and a set of bases, the system retrieves a list of collocates for each base and LF.
dc.description.sponsorship The present work has been partially funded by the Spanish Ministry of Economy and Competitiveness (MINECO), through a predoctoral grant (BES-2012-057036) in the framework of the project HARenES (FFI2011-30219-C02-02), by the European Commission under the contract number H2020-RIA-645012, and by the ICT PhD program of Universitat Pompeu Fabra through a travel grant.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher ELRA (European Language Resources Association)
dc.relation.ispartof Calzolari N, Choukri K, Declerck T, Goggi S, Grobelnik M, Maegaard B, Mariani J, Mazo H, Moreno A, Odijk J, Piperidis S, editors. LREC 2016, Tenth International Conference on Language Resources and Evaluation; 2016 May 23-28; Portorož (Slovenia). [S.l.]: European Language Resources Association (ELRA); 2016. Session P28, Multiword expressions; p. 2317-22.
dc.rights © 2016 ELRA - European Language Resources Association. All rights reserved.
dc.rights.uri http://creativecommons.org/licenses/by-nc/4.0/
dc.title Example-based acquisition of fine-grained collocational resources
dc.type info:eu-repo/semantics/conferenceObject
dc.subject.keyword Collocation retrieval
dc.subject.keyword Collocation semantic classification
dc.subject.keyword Collocation resources
dc.subject.keyword Second language learning
dc.subject.keyword Word embeddings
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/645012
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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