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  4. Publikationen School of Engineering
Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-19010
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dc.contributor.authorAghaebrahimian, Ahmad-
dc.contributor.authorCieliebak, Mark-
dc.date.accessioned2020-01-08T13:00:57Z-
dc.date.available2020-01-08T13:00:57Z-
dc.date.issued2019-
dc.identifier.isbn978-1-950737-48-2de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/19010-
dc.description.abstractWe report our ongoing work about a new deep architecture working in tandem with a statistical test procedure for jointly training texts and their label descriptions for multi-label and multi-class classification tasks. A statistical hypothesis testing method is used to extract the most informative words for each given class. These words are used as a class description for more label-aware text classification. Intuition is to help the model to concentrate on more informative words rather than more frequent ones. The model leverages the use of label descriptions in addition to the input text to enhance text classification performance. Our method is entirely data-driven, has no dependency on other sources of information than the training data, and is adaptable to different classification problems by providing appropriate training data without major hyper-parameter tuning. We trained and tested our system on several publicly available datasets, where we managed to improve the state-of-the-art on one set with a high margin and to obtain competitive results on all other ones.de_CH
dc.language.isoende_CH
dc.publisherAssociation for Computational Linguisticsde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subject.ddc410.285: Computerlinguistikde_CH
dc.titleTowards integration of statistical hypothesis tests into deep neural networksde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
dc.identifier.doi10.18653/v1/P19-1557de_CH
dc.identifier.doi10.21256/zhaw-19010-
zhaw.conference.details57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, 28 July - 2 August 2019de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end5557de_CH
zhaw.pages.start5551de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsProceedings of the 57th Annual Meeting of the Association for Computational Linguisticsde_CH
zhaw.webfeedAngewandte Text- und Gesprächslinguistikde_CH
zhaw.webfeedSoftware Systemsde_CH
zhaw.webfeedNatural Language Processingde_CH
zhaw.author.additionalNode_CH
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Aghaebrahimian, A., & Cieliebak, M. (2019). Towards integration of statistical hypothesis tests into deep neural networks [Conference paper]. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 5551–5557. https://doi.org/10.18653/v1/P19-1557
Aghaebrahimian, A. and Cieliebak, M. (2019) ‘Towards integration of statistical hypothesis tests into deep neural networks’, in Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, pp. 5551–5557. Available at: https://doi.org/10.18653/v1/P19-1557.
A. Aghaebrahimian and M. Cieliebak, “Towards integration of statistical hypothesis tests into deep neural networks,” in Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019, pp. 5551–5557. doi: 10.18653/v1/P19-1557.
AGHAEBRAHIMIAN, Ahmad und Mark CIELIEBAK, 2019. Towards integration of statistical hypothesis tests into deep neural networks. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Conference paper. Association for Computational Linguistics. 2019. S. 5551–5557. ISBN 978-1-950737-48-2
Aghaebrahimian, Ahmad, and Mark Cieliebak. 2019. “Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks.” Conference paper. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 5551–57. Association for Computational Linguistics. https://doi.org/10.18653/v1/P19-1557.
Aghaebrahimian, Ahmad, and Mark Cieliebak. “Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks.” Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, 2019, pp. 5551–57, https://doi.org/10.18653/v1/P19-1557.


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