no code implementations • RANLP (BUCC) 2021 • Ben Burtenshaw, Mike Kestemont
Multi-label toxicity detection is highly prominent, with many research groups, companies, and individuals engaging with it through shared tasks and dedicated venues.
Multi Label Text Classification Multi-Label Text Classification +1
no code implementations • 15 Aug 2024 • Shachar Don-Yehiya, Ben Burtenshaw, Ramon Fernandez Astudillo, Cailean Osborne, Mimansa Jaiswal, Tzu-Sheng Kuo, Wenting Zhao, Idan Shenfeld, Andi Peng, Mikhail Yurochkin, Atoosa Kasirzadeh, Yangsibo Huang, Tatsunori Hashimoto, Yacine Jernite, Daniel Vila-Suero, Omri Abend, Jennifer Ding, Sara Hooker, Hannah Rose Kirk, Leshem Choshen
In this work, we bring together interdisciplinary experts to assess the opportunities and challenges to realizing an open ecosystem of human feedback for AI.
no code implementations • SEMEVAL 2021 • Ben Burtenshaw, Mike Kestemont
This paper describes the system developed by the Antwerp Centre for Digital humanities and literary Criticism [UAntwerp] for toxic span detection.
no code implementations • 9 Nov 2020 • Ben Burtenshaw
AI Stories is a proposed interactive dialogue system, that lets children co-create narrative worlds through conversation.
no code implementations • WS 2020 • Jens Lemmens, Ben Burtenshaw, Ehsan Lotfi, Ilia Markov, Walter Daelemans
We present an ensemble approach for the detection of sarcasm in Reddit and Twitter responses in the context of The Second Workshop on Figurative Language Processing held in conjunction with ACL 2020.
1 code implementation • RANLP 2019 • Johannes Sch{\"a}fer, Ben Burtenshaw
In recent years an increasing number of analyses of offensive language has been published, however, dealing mainly with the automatic detection and classification of isolated instances.