@inproceedings{scherrer-ljubesic-2021-social,
title = "Social Media Variety Geolocation with geo{BERT}",
author = "Scherrer, Yves and
Ljube{\v{s}}i{\'c}, Nikola",
editor = {Zampieri, Marcos and
Nakov, Preslav and
Ljube{\v{s}}i{\'c}, Nikola and
Tiedemann, J{\"o}rg and
Scherrer, Yves and
Jauhiainen, Tommi},
booktitle = "Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects",
month = apr,
year = "2021",
address = "Kiyv, Ukraine",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.vardial-1.16",
pages = "135--140",
abstract = "This paper describes the Helsinki{--}Ljubljana contribution to the VarDial 2021 shared task on social media variety geolocation. Following our successful participation at VarDial 2020, we again propose constrained and unconstrained systems based on the BERT architecture. In this paper, we report experiments with different tokenization settings and different pre-trained models, and we contrast our parameter-free regression approach with various classification schemes proposed by other participants at VarDial 2020. Both the code and the best-performing pre-trained models are made freely available.",
}
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<abstract>This paper describes the Helsinki–Ljubljana contribution to the VarDial 2021 shared task on social media variety geolocation. Following our successful participation at VarDial 2020, we again propose constrained and unconstrained systems based on the BERT architecture. In this paper, we report experiments with different tokenization settings and different pre-trained models, and we contrast our parameter-free regression approach with various classification schemes proposed by other participants at VarDial 2020. Both the code and the best-performing pre-trained models are made freely available.</abstract>
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%0 Conference Proceedings
%T Social Media Variety Geolocation with geoBERT
%A Scherrer, Yves
%A Ljubešić, Nikola
%Y Zampieri, Marcos
%Y Nakov, Preslav
%Y Ljubešić, Nikola
%Y Tiedemann, Jörg
%Y Scherrer, Yves
%Y Jauhiainen, Tommi
%S Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects
%D 2021
%8 April
%I Association for Computational Linguistics
%C Kiyv, Ukraine
%F scherrer-ljubesic-2021-social
%X This paper describes the Helsinki–Ljubljana contribution to the VarDial 2021 shared task on social media variety geolocation. Following our successful participation at VarDial 2020, we again propose constrained and unconstrained systems based on the BERT architecture. In this paper, we report experiments with different tokenization settings and different pre-trained models, and we contrast our parameter-free regression approach with various classification schemes proposed by other participants at VarDial 2020. Both the code and the best-performing pre-trained models are made freely available.
%U https://aclanthology.org/2021.vardial-1.16
%P 135-140
Markdown (Informal)
[Social Media Variety Geolocation with geoBERT](https://aclanthology.org/2021.vardial-1.16) (Scherrer & Ljubešić, VarDial 2021)
ACL
- Yves Scherrer and Nikola Ljubešić. 2021. Social Media Variety Geolocation with geoBERT. In Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects, pages 135–140, Kiyv, Ukraine. Association for Computational Linguistics.