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dc.contributor.author Bel Rafecas, Núria
dc.contributor.author Pocostales, Joel
dc.date.accessioned 2019-03-05T09:37:16Z
dc.date.available 2019-03-05T09:37:16Z
dc.date.issued 2018
dc.identifier.citation Bel N, Pocostales J. Can domain adaptation be handled as analogies? In: Calzolari N, Choukri K, Cieri C, Declerck T, Goggi S, Hasida K, Isahara H, Maegaard B, Mariani J, Mazo H, Moreno A, Odijk J, Piperidis S, Tokunaga T, editors. Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC-2018); 2018 May 7-12; Miyazaki, Japan. France: European Language Resources Association; 2018. p. 2559-65.
dc.identifier.uri http://hdl.handle.net/10230/36740
dc.description Comunicació presentada a: 11th International Conference on Language Resources and Evaluation, celebrada a Miyazaki, Japó, del 7 al 12 de maig del 2018.
dc.description.abstract Aspect identification in user generated texts by supervised text classification might suffer degradation in performance when changing to other domains than the one used for training. For referring to aspects such as quality, price or customer services the vocabulary might differ and affect performance. In this paper, we present an experiment to validate a method to handle domain shifts when there is no available labeled data to retrain. The system is based on the offset method as used for solving word analogy problems in vector semantic models such as word embedding. Despite of the fact that the offset method indeed found relevant analogues in the new domain for the classifier initial selected features, the classifiers did not deliver the expected results. The analysis showed that a number of words were found as analogues for many different initial features. This phenomenon was already described in the literature as 'default words' or 'hubs'. However, our data showed that it cannot be explained in terms of word frequency or distance to the question word, as suggested.
dc.description.sponsorship This work was supported by the Spanish TUNER project TIN2015-65308-C5-5-R (MINECO/FEDER, UE).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher ACL (Association for Computational Linguistics)
dc.relation.ispartof In: Calzolari N, Choukri K, Cieri C, Declerck T, Goggi S, Hasida K, Isahara H, Maegaard B, Mariani J, Mazo H, Moreno A, Odijk J, Piperidis S, Tokunaga T, editors. Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC-2018); 2018 May 7-12; Miyazaki, Japan. France: European Language Resources Association; 2018. p. 2559-65.
dc.rights © ACL, Creative Commons Attribution 3.0 License
dc.rights.uri https://creativecommons.org/licenses/by/3.0/es/
dc.title Can domain adaptation be handled as analogies?
dc.type info:eu-repo/semantics/conferenceObject
dc.subject.keyword Aspect identification
dc.subject.keyword Domain adaptation
dc.subject.keyword Document classification
dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2015-65308-C5-5-R
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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