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Towards mitigating gender bias in a decoder-based neural machine translation model by adding contextual information
dc.contributor.author | Basta, Christine Raouf Saad |
dc.contributor.author | Ruiz Costa-Jussà, Marta |
dc.contributor.author | Rodríguez Fonollosa, José Adrián |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2020-11-19T11:59:10Z |
dc.date.available | 2020-11-19T11:59:10Z |
dc.date.issued | 2020 |
dc.identifier.citation | Basta, C.; Costa-jussà, M.R.; Fonollosa, J.A.R. Towards mitigating gender bias in a decoder-based neural machine translation model by adding contextual information. A: Widening Natural Language Processing Workshop. "Proceedings of the The Fourth Widening Natural Language Processing Workshop". Stroudsburg, PA: Association for Computational Linguistics, 2020, p. 99-102. ISBN 978-1-952148-06-4. DOI 10.18653/v1/2020.winlp-1.25. |
dc.identifier.isbn | 978-1-952148-06-4 |
dc.identifier.uri | http://hdl.handle.net/2117/332581 |
dc.description.abstract | Gender bias negatively impacts many natural language processing applications, including ma-chine translation (MT). The motivation behind this work is to study whether recent proposedMT techniques are significantly contributing to attenuate biases in document-level and gender-balanced data. For the study, we consider approaches of adding the previous sentence and thespeaker information, implemented in a decoder-based neural MT system. We show improve-ments both in translation quality (+1 BLEU point) as well as in gender bias mitigation onWinoMT (+5% accuracy). |
dc.description.sponsorship | This work is supported in part by the Catalan Agency for Management of University and Research Grants (AGAUR) through the FI PhD Scholarship. This work is also supported in part by the Spanish Ministerio de Economía y Competitividad, the European Regional Development Fund and the Agencia Estatal de Investigacion, through the postdoctoral senior grant Ramón y Cajal, contract TEC2015-69266-P (MINECO/FEDER,EU) and contract PCIN-2017-079 (AEI/MINECO). |
dc.format.extent | 4 p. |
dc.language.iso | eng |
dc.publisher | Association for Computational Linguistics |
dc.rights | Attribution 4.0 International |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic |
dc.subject.lcsh | Natural language processing (Computer science) |
dc.subject.lcsh | Machine translating |
dc.subject.lcsh | Machine learning |
dc.subject.lcsh | Sexism in language |
dc.title | Towards mitigating gender bias in a decoder-based neural machine translation model by adding contextual information |
dc.type | Conference report |
dc.subject.lemac | Tractament del llenguatge natural |
dc.subject.lemac | Traducció automàtica |
dc.subject.lemac | Aprenentatge automàtic |
dc.subject.lemac | Sexisme en el llenguatge |
dc.contributor.group | Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla |
dc.identifier.doi | 10.18653/v1/2020.winlp-1.25 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://www.aclweb.org/anthology/2020.winlp-1.25/ |
dc.rights.access | Open Access |
local.identifier.drac | 28881185 |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO//TEC2015-69266-P/ES/TECNOLOGIAS DE APRENDIZAJE PROFUNDO APLICADAS AL PROCESADO DE VOZ Y AUDIO/ |
dc.relation.projectid | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación (PEICTI) 2013-2016/PCIN-2017-079/ES/AUTONOMOUS LIFELONG LEARNING INTELLIGENT SYSTEMS/ |
local.citation.author | Basta, C.; Ruíz, M.; Rodríguez, J.A |
local.citation.contributor | Widening Natural Language Processing Workshop |
local.citation.pubplace | Stroudsburg, PA |
local.citation.publicationName | Proceedings of the The Fourth Widening Natural Language Processing Workshop |
local.citation.startingPage | 99 |
local.citation.endingPage | 102 |