Web-Based Annotation Tool for Instant Messaging Conversations

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Authors	PLHÁK Jaromír LEBEDÍKOVÁ Michaela TKACZYK Michal ŠMAHEL David
Year of publication	2023
Type	Article in Proceedings
Conference	Recent Advances in Slavonic Natural Language Processing, RASLAN 2023
MU Faculty or unit	Faculty of Informatics
Citation
Web	https://nlp.fi.muni.cz/raslan/2023/paper1.pdf
Keywords	Text annotation tool; online risky behavior; social support
Description	This paper presents a customized web-based annotation tool that allows users to annotate utterances in data from instant messaging applications. Efficient annotations are provided by a well-arranged user interface, operating using key-pressing and integration of an interactive annotation manual. Moreover, the interface for supervisors allows them to determine which utterances belong to the gold standard. We also provide information on two accomplished annotation tasks: annotating online risk phenomena with sparse occurrence (0.85% to 1.98%) and annotating social support that can be used to generate efficient detection models.
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