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dc.contributor.author | Soler Company, Juan |
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dc.contributor.author | Wanner, Leo |
dc.date | 2016 |
dc.identifier.citation | Soler-Company J, Wanner L. A Semi-supervised approach for gender identification. In: Calzolari N, Choukri K, Declerck T, Goggi S, Grobelnik M, Maegaard B, Mariani J, Mazo H, Moreno A, Odijk J, Piperidis S. LREC 2016, Tenth International Conference on Language Resources and Evaluation; 2016 23-28 May; Portorož, Slovenia. [Portorož]: LREC, 2016. p. 1282-7. |
dc.identifier.uri | http://hdl.handle.net/10230/32753 |
dc.format | application/pdf |
dc.language.iso | eng |
dc.publisher | LREC |
dc.relation | Calzolari N, Choukri K, Declerck T, Goggi S, Grobelnik M, Maegaard B, Mariani J, Mazo H, Moreno A, Odijk J, Piperidis S. LREC 2016, Tenth International Conference on Language Resources and Evaluation; 2016 23-28 May; Portorož, Slovenia. [Place unknown]: LREC, 2017. p. 1282-7. |
dc.rights | © The European Language Resources Association. The LREC 2016 Proceedings are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License |
dc.rights | https://creativecommons.org/licenses/by-nc/4.0/ |
dc.rights | info:eu-repo/semantics/openAccess |
dc.subject | Author profiling |
dc.subject | Gender identification |
dc.subject | Semi supervised learning |
dc.subject | Text classification |
dc.subject | Machine learning |
dc.title | A Semi-supervised approach for gender identification |
dc.type | info:eu-repo/semantics/conferenceObject |
dc.type | info:eu-repo/semantics/publishedVersion |
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