activity
20002020
most citedAutomatic Detection of Cyberbullying in Social Media Text

385 citations · 499 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2020★ 6 cited

4chan & 8chan embeddings

Pierre Voué, Tom De Smedt, Guy De Pauw

We have collected over 30M messages from the publicly available /pol/ message boards on 4chan and 8chan, and compiled them into a model of toxic language use. The trained word embe…

cs.CL2019★ 59 cited

Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity

Chris Emmery, Ben Verhoeven, Guy De Pauw +6

The detection of online cyberbullying has seen an increase in societal importance, popularity in research, and available open data. Nevertheless, while computational power and affo…

cs.CL2019

A weakly supervised sequence tagging and grammar induction approach to semantic frame slot filling

Janneke van de Loo, Guy De Pauw, Walter Daelemans

This paper describes continuing work on semantic frame slot filling for a command and control task using a weakly-supervised approach. We investigate the advantages of using retrai…

cs.CL2019★ 1 cited

Effective weakly supervised semantic frame induction using expression sharing in hierarchical hidden Markov models

Janneke van de Loo, Jort F. Gemmeke, Guy De Pauw +3

We present a framework for the induction of semantic frames from utterances in the context of an adaptive command-and-control interface. The system is trained on an individual user…

cs.CL2018★ 9 cited

Multilingual Cross-domain Perspectives on Online Hate Speech

Tom De Smedt, Sylvia Jaki, Eduan Kotzé +4

In this report, we present a study of eight corpora of online hate speech, by demonstrating the NLP techniques that we used to collect and analyze the jihadist, extremist, racist,…

cs.CL2018★ 39 cited

Automatic Detection of Online Jihadist Hate Speech

Tom De Smedt, Guy De Pauw, Pieter Van Ostaeyen

We have developed a system that automatically detects online jihadist hate speech with over 80% accuracy, by using techniques from Natural Language Processing and Machine Learning.…