Zobrazeno 1 - 10
of 254
pro vyhledávání: '"De Pauw, Guy"'
Publikováno v:
Textgain Technical Reports 1 (2020)
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 embeddings (0.4GB) are released for free and may be useful for further stu
Externí odkaz:
http://arxiv.org/abs/2005.06946
Autor:
Emmery, Chris, Verhoeven, Ben, De Pauw, Guy, Jacobs, Gilles, Van Hee, Cynthia, Lefever, Els, Desmet, Bart, Hoste, Véronique, Daelemans, Walter
The detection of online cyberbullying has seen an increase in societal importance, popularity in research, and available open data. Nevertheless, while computational power and affordability of resources continue to increase, the access restrictions o
Externí odkaz:
http://arxiv.org/abs/1910.11922
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 retraining techniques that take the output of a hierarchical hidden markov m
Externí odkaz:
http://arxiv.org/abs/1906.06493
Akademický článek
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Autor:
van de Loo, Janneke, Gemmeke, Jort F., De Pauw, Guy, Ons, Bart, Daelemans, Walter, Van hamme, Hugo
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's utterances and the corresponding semantic frames representing contr
Externí odkaz:
http://arxiv.org/abs/1901.10680
Autor:
De Smedt, Tom, Jaki, Sylvia, Kotzé, Eduan, Saoud, Leïla, Gwóźdź, Maja, De Pauw, Guy, Daelemans, Walter
Publikováno v:
CLiPS Technical Report Series 8 (2018) 1-24
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, and sexist content. Analysis of the multilingual corpora shows that th
Externí odkaz:
http://arxiv.org/abs/1809.03944
Publikováno v:
CLiPS Technical Report Series 7 (2018) 1-31
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. The system is trained on a corpus of 45,000 subversive Twitter messag
Externí odkaz:
http://arxiv.org/abs/1803.04596
Autor:
Emmery, Chris, Verhoeven, Ben, De Pauw, Guy, Jacobs, Gilles, Van Hee, Cynthia, Lefever, Els, Desmet, Bart, Hoste, Véronique, Daelemans, Walter
Publikováno v:
Language Resources and Evaluation, 2021 Jul 01. 55(3), 597-633.
Externí odkaz:
https://www.jstor.org/stable/48756696
Autor:
Van Hee, Cynthia, Jacobs, Gilles, Emmery, Chris, Desmet, Bart, Lefever, Els, Verhoeven, Ben, De Pauw, Guy, Daelemans, Walter, Hoste, Véronique
While social media offer great communication opportunities, they also increase the vulnerability of young people to threatening situations online. Recent studies report that cyberbullying constitutes a growing problem among youngsters. Successful pre
Externí odkaz:
http://arxiv.org/abs/1801.05617
Publikováno v:
Journal of Oral Rehabilitation; Jan2025, Vol. 52 Issue 1, p43-56, 14p