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https://doi.org/10.21256/zhaw-21551| Publikationstyp: | Konferenz: Paper |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | ZHAW-InIT : social media geolocation at VarDial 2020 |
| Autor/-in: | Benites de Azevedo e Souza, Fernando Hürlimann, Manuela von Däniken, Pius Cieliebak, Mark |
| et. al: | No |
| DOI: | 10.21256/zhaw-21551 |
| Tagungsband: | Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects |
| Herausgeber/-in des übergeordneten Werkes: | Zampieri, Marcos Nakov, Preslav Ljubešić, Nikola Tiedemann, Jörg Scherrer, Yves |
| Seite(n): | 254 |
| Seiten bis: | 264 |
| Angaben zur Konferenz: | Workshop on NLP for Similar Languages, Varieties and Dialects, Barcelona (Spain), online, 13 December 2020 |
| Erscheinungsdatum: | 13-Dez-2020 |
| Verlag / Hrsg. Institution: | International Committee on Computational Linguistics (ICCL) |
| ISBN: | 978-1-952148-47-7 |
| Sprache: | Englisch |
| Fachgebiet (DDC): | 410.285: Computerlinguistik |
| Zusammenfassung: | We describe our approaches for the Social Media Geolocation (SMG) task at the VarDial Evaluation Campaign 2020. The goal was to predict geographical location (latitudes and longitudes) given an input text. There were three subtasks corresponding to German-speaking Switzerland (CH), Germany and Austria (DE-AT), and Croatia, Bosnia and Herzegovina, Montenegro and Serbia (BCMS). We submitted solutions to all subtasks but focused our development efforts on the CH subtask, where we achieved third place out of 16 submissions with a median distance of 15.93 km and had the best result of 14 unconstrained systems. In the DE-AT subtask, we ranked sixth out of ten submissions (fourth of 8 unconstrained systems) and for BCMS we achieved fourth place out of 13 submissions (second of 11 unconstrained systems). |
| URI: | https://aclanthology.org/2020.vardial-1.24 https://digitalcollection.zhaw.ch/handle/11475/21551 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | CC BY 4.0: Namensnennung 4.0 International |
| Departement: | School of Engineering |
| Organisationseinheit: | Institut für Informatik (InIT) |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 2020_Benites_etal_ZHAW_InIT_VarDial2020.pdf | 512.81 kB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
Benites de Azevedo e Souza, F., Hürlimann, M., von Däniken, P., & Cieliebak, M. (2020). ZHAW-InIT : social media geolocation at VarDial 2020 [Conference paper]. In M. Zampieri, P. Nakov, N. Ljubešić, J. Tiedemann, & Y. Scherrer (Eds.), Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects (pp. 254–264). International Committee on Computational Linguistics (ICCL). https://doi.org/10.21256/zhaw-21551
Benites de Azevedo e Souza, F. et al. (2020) ‘ZHAW-InIT : social media geolocation at VarDial 2020’, in M. Zampieri et al. (eds) Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects. International Committee on Computational Linguistics (ICCL), pp. 254–264. Available at: https://doi.org/10.21256/zhaw-21551.
F. Benites de Azevedo e Souza, M. Hürlimann, P. von Däniken, and M. Cieliebak, “ZHAW-InIT : social media geolocation at VarDial 2020,” in Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects, Dec. 2020, pp. 254–264. doi: 10.21256/zhaw-21551.
BENITES DE AZEVEDO E SOUZA, Fernando, Manuela HÜRLIMANN, Pius VON DÄNIKEN und Mark CIELIEBAK, 2020. ZHAW-InIT : social media geolocation at VarDial 2020. In: Marcos ZAMPIERI, Preslav NAKOV, Nikola LJUBEŠIĆ, Jörg TIEDEMANN und Yves SCHERRER (Hrsg.), Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects [online]. Conference paper. International Committee on Computational Linguistics (ICCL). 13 Dezember 2020. S. 254–264. ISBN 978-1-952148-47-7. Verfügbar unter: https://aclanthology.org/2020.vardial-1.24
Benites de Azevedo e Souza, Fernando, Manuela Hürlimann, Pius von Däniken, and Mark Cieliebak. 2020. “ZHAW-InIT : Social Media Geolocation at VarDial 2020.” Conference paper. In Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects, edited by Marcos Zampieri, Preslav Nakov, Nikola Ljubešić, Jörg Tiedemann, and Yves Scherrer, 254–64. International Committee on Computational Linguistics (ICCL). https://doi.org/10.21256/zhaw-21551.
Benites de Azevedo e Souza, Fernando, et al. “ZHAW-InIT : Social Media Geolocation at VarDial 2020.” Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects, edited by Marcos Zampieri et al., International Committee on Computational Linguistics (ICCL), 2020, pp. 254–64, https://doi.org/10.21256/zhaw-21551.
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