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dc.contributor.authorJiang, Aen_US
dc.contributor.authorZubiaga, Aen_US
dc.contributor.authorSeventeenth International AAAI Conference on Web and Social Mediaen_US
dc.date.accessioned2023-07-26T09:50:21Z
dc.date.issued2023-06-02en_US
dc.identifier.issn2162-3449en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/89778
dc.format.extent447 - 458en_US
dc.publisherAssociation for the Advancement of Artificial Intelligence (AAAI)en_US
dc.rightsThis is a pre-copyedited, author-produced version accepted for publication in Proceedings of the International AAAI Conference on Web and Social Media following peer review. The version of record is available at https://ojs.aaai.org/index.php/ICWSM/article/view/22159
dc.titleSexWEs: Domain-Aware Word Embeddings via Cross-Lingual Semantic Specialisation for Chinese Sexism Detection in Social Mediaen_US
dc.typeConference Proceeding
dc.rights.holder© 2023, Association for the Advancement of Artificial Intelligence.
dc.identifier.doi10.1609/icwsm.v17i1.22159en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume17en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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