Cross|domain and Cross|lingual Abusive Language Detection a ...

Cross-domain and Cross-lingual Abusive Language Detection

We show that training a system on general abusive language datasets will produce a cross-domain robust system, which can be used to detect other more specific ...

[PDF] Cross-domain and Cross-lingual Abusive Language Detection

It is shown that training a system on general abusive language datasets will produce a cross-domain robust system, which can be used to detect other more ...

Cross-Platform and Cross-Domain Abusive Language Detection ...

Title:Cross-Platform and Cross-Domain Abusive Language Detection with Supervised Contrastive Learning ... Abstract:The prevalence of abusive ...

A Hybrid Approach with Deep Learning and a Multilingual Lexicon

Request PDF | On Jan 1, 2019, Endang Wahyu Pamungkas and others published Cross-domain and Cross-lingual Abusive Language Detection: A Hybrid Approach with ...

Cross-Platform and Cross-Domain Abusive Language Detection ...

We design SCL-Fish, a supervised contrastive learning integrated meta-learning algorithm to detect abusive language on unseen platforms. Our experimental ...

Towards multidomain and multilingual abusive language detection

Several studies have been proposed to deal with this vital issue by modeling this task in the cross-domain and cross-lingual setting. This paper ...

A survey on multi-lingual offensive language detection - PMC - NCBI

... cross-domain and cross-lingual cases. Focus on cross-lingual side only in the hate speech detection. No analysis on the available products ...

Cross-Platform and Cross-Domain Abusive Language Detection ...

This work design and experimental analysis shows that SCL-Fish achieves better performance over ERM and the existing state-of-the-art models, ...

Cross-Platform and Cross-Domain Abusive Language Detection ...

We design SCL-Fish, a supervised contrastive learning integrated meta-learning algorithm to detect abusive language on unseen platforms. Our ...

Cross-lingual Offensive Language Detection: A Systematic Review ...

... offensive language detection in social media. Our study stands as the first holistic overview to focus exclusively on the cross-lingual scenario in this domain ...

Vicinal Risk Minimization for Few-Shot Cross-lingual Transfer in...

In this work, we resort to data augmentation and continual pre-training for domain adaptation to improve cross-lingual abusive language detection. For data ...

Cross-lingual training for offensive language detection - GitHub

This repository contains the code that was used to produce results for the paper Investigating cross-lingual training for offensive language detection.

cross domain and cross lingual abusive language detection a hybrid ...

cross domain and cross lingual abusive language detection a hybrid approach with deep learning and a multilingual lexicon. Endang Wahyu ...

Cross-Lingual Few-Shot Hate Speech and Offensive Language ...

Automatic detection of abusive online content such as hate speech, offensive language, threats, etc. has become prevalent in social media, ...

Cross-lingual hate speech detection using domain-specific word ...

THIS ARTICLE USES WORDS OR LANGUAGE THAT IS CONSIDERED PROFANE, VULGAR, OR OFFENSIVE BY SOME READERS. Hate speech detection in online social ...

Transfer language selection for zero-shot cross-lingual abusive ...

We study the selection of transfer languages for automatic abusive language detection. Instead of preparing a dataset for every language, we demonstrate the ...

Vicinal Risk Minimization for Few-Shot Cross-lingual Transfer in ...

... domain adaptation to improve cross-lingual abusive language detection. ... cross-lingual abusive language detection. Specifically, we ...

Multilingual Offensive Language Identification with Cross-lingual ...

Several stud- ies have been recently published investigat- ing methods to detect the various forms of such content (e.g. hate speech, cyberbulling, and ...

Transfer Language Selection for Zero-Shot Cross-Lingual Abusive ...

We study the selection of transfer languages for automatic abusive language detection. Instead of preparing a dataset for every language, we demonstrate the ...

A joint learning approach with knowledge injection for zero-shot ...

PamungkasE.W. et al. Misogyny detection in Twitter: a multilingual and cross-domain study ... Cross-Lingual Few-Shot Hate Speech and Offensive Language Detection ...