Russian Text Corpus of Intimate Partner Violence: Annotation Through Crowdsourcing-Reference-Cited by-同舟云学术

Russian Text Corpus of Intimate Partner Violence: Annotation Through Crowdsourcing

Published:2020 Issue: Volume: Page:306-321
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Mitiagina Ekaterina^ORCID,Borodataya Marina^ORCID,Volchenkova Elena^ORCID,Ershova Nina^ORCID,Luchinina Marina^ORCID,Kotelnikov Evgeny^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-67238-6_22

Reference22 articles.

1. Women, Business, and the Law 2018 (Russian). http://documents.worldbank.org/curated/en/927271534918263759/Women-Business-and-the-Law-2018. Accessed 2020/06/07

2. Bradbury-Jones, C., Isham, L.: The pandemic paradox: the consequences of COVID-19 on domestic violence. J. Clin. Nurs. 29(13–14), 2047–2049 (2020)

3. Parlamentskaya Gazeta. IPV statistics. https://www.pnp.ru/social/eksperty-predstavili-v-gosdume-statistiku-po-domashnemu-nasiliyu.html. Accessed 7 June 2020

4. Karystianis, G., Adily, A., Schofield, P.W., Greenberg, D., Jorm, L., Nenadic, G., Butler, T.: Automated analysis of domestic violence. police reports to explore abuse types and victim injuries: text mining study. J. Med. Internet Res. 21(3), e13067 (2019)

5. Sánchez-Moya, A.: Corpus-driven insights into the discourse of women survivors of intimate partner violence. Quaderns de filología. Estudis lingüístics 22, 215–243 (2017)

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1. Annotation of Text Corpora by Sentiment and Presence of Irony within a Project of Citizen Science;Modeling and Analysis of Information Systems;2023-04-28