Donnerstag, 28. November 2024, 16:45 - 18:15 iCal
Invited Talk: Michael Wiegand
A Roadmap to Implicitly Abusive Language Detection
Hörsaal 33 (HS) im Hauptgebäude der Universität Wien
Universitätsring 1, 1010 Wien
Vortrag
Abstract: Abusive language detection is an emerging field in natural language processing that aims to automatically identify harmful or offensive language in text. This task has received considerable attention recently, yet the success of automatic detection systems remains limited. In particular, the detection of implicitly abusive language, i.e. abusive content that is not conveyed through overtly abusive words (e.g. "dumbass" or "scum"), remains a significant challenge.
In this talk, I will explain why existing datasets hinder the effective detection of implicit abuse and what needs to change in the design of these datasets. I will advocate for a divide-and-conquer strategy, where we categorize and address various subtypes of implicitly abusive language. Additionally, I will present a list of these subtypes and outline key research tasks and questions for future exploration in this area.
Bio: Michael Wiegand obtained his PhD at Saarland University in 2011. Until 2018, he was a postdoctoral researcher at the Department for Spoken Language Systems at Saarland University. In 2019, he served as the research group leader at the Leibniz ScienceCampus Empirical Linguistics and Computational Language Modeling, jointly associated with the Leibniz Institute for the German Language (Mannheim) and Heidelberg University. From 2020 to 2024, he held a fixed-term professorship in Computational Linguistics at the Digital Age Research Center (D!ARC) at the University of Klagenfurt. Since July 2024, he has been a Senior Scientist in the Digital Philology group at the University of Vienna, where he also coordinates teaching efforts in the field of digital humanities.
Veranstalter
Lecture series: Machines that understand? Large Language Models and Artificial Intelligence
Kontakt
Lukas Thoma
Universität Wien
Forschungsgruppe Data Mining and Machine Learning
+43-1-4277-79501
lukas.thoma@univie.ac.at
Erstellt am Donnerstag, 24. Oktober 2024, 16:24
Letzte Änderung am Dienstag, 29. Oktober 2024, 08:58