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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://raslan2021.nlp-consulting.net/}, 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://raslan2021.nlp-consulting.net/ 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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