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@inproceedings{1809721,
author = {Sotolář, Ondřej and Plhák, Jaromír and Tkaczyk, Michal and Lebedíková, Michaela and Šmahel, David},
address = {Brno},
booktitle = {Recent Advances in Slavonic Natural Language Processing (RASLAN 2021)},
editor = {Horák, Rychlý, Rambousek},
keywords = {Online Risks; Supportive Interaction; Facebook Messenger; Text Classification},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Brno},
isbn = {978-80-263-1670-1},
pages = {19-28},
publisher = {Tribun EU},
title = {Detecting Online Risks and Supportive Interaction in Instant Messenger Conversations using Czech Transformers},
url = {https://nlp.fi.muni.cz/raslan/raslan21.pdf#page=27},
year = {2021}
}
TY - JOUR
ID - 1809721
AU - Sotolář, Ondřej - Plhák, Jaromír - Tkaczyk, Michal - Lebedíková, Michaela - Šmahel, David
PY - 2021
TI - Detecting Online Risks and Supportive Interaction in Instant Messenger Conversations using Czech Transformers
PB - Tribun EU
CY - Brno
SN - 9788026316701
KW - Online Risks
KW - Supportive Interaction
KW - Facebook Messenger
KW - Text Classification
UR - https://nlp.fi.muni.cz/raslan/raslan21.pdf#page=27
N2 - We present a comparison of state-of-the-art models for text clas- sification of Online Risks and Supportive Interaction in anonymized In- stant Messenger conversations held in Czech. We compare the transformer models Czert, RobeCzech, and FERNET-C5 with the Fasttext classifier as a baseline. For the comparison, we build a novel dataset with five sub- categories for the Online Risks and five for the Supportive Interaction. We solve the balanced classification problem achieving 75.44 - 89.66 F1 score depending on the category. Our results show that the transformer models perform consistently better than the baseline.
ER -
SOTOLÁŘ, Ondřej, Jaromír PLHÁK, Michal TKACZYK, Michaela LEBEDÍKOVÁ a David ŠMAHEL. Detecting Online Risks and Supportive Interaction in Instant Messenger Conversations using Czech Transformers. In Horák, Rychlý, Rambousek. \textit{Recent Advances in Slavonic Natural Language Processing (RASLAN 2021)}. Brno: Tribun EU, 2021, s.~19-28. ISBN~978-80-263-1670-1.
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