Search Results for author:
Found 11 papers, 2 papers with code
4chan & 8chan embeddings
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.
Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity
The detection of online cyberbullying has seen an increase in societal importance, popularity in research, and available open data.
A weakly supervised sequence tagging and grammar induction approach to semantic frame slot filling
This paper describes continuing work on semantic frame slot filling for a command and control task using a weakly-supervised approach.
Effective weakly supervised semantic frame induction using expression sharing in hierarchical hidden Markov models
We present a framework for the induction of semantic frames from utterances in the context of an adaptive command-and-control interface.
Multilingual Cross-domain Perspectives on Online Hate Speech
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.
Automatic Detection of Online Jihadist Hate Speech
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.
Automatic Detection of Cyberbullying in Social Media Text
While social media offer great communication opportunities, they also increase the vulnerability of young people to threatening situations online.
The Netlog Corpus. A Resource for the Study of Flemish Dutch Internet Language
Although in recent years numerous forms of Internet communication ― such as e-mail, blogs, chat rooms and social network environments ― have emerged, balanced corpora of Internet speech with trustworthy meta-information (e. g. age and gender) or linguistic annotations are still limited.
