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

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 ...

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 ...

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, ...

[2211.06452] Cross-Platform and Cross-Domain Abusive Language ...

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

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 ...

[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-domain and Cross-lingual Abusive Language Detection: A ...

The development of computational methods to detect abusive language in social media within variable and multilingual contexts has recently gained ...

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 ...

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 ...

Towards multidomain and multilingual abusive language detection

... detection”, and “cross-platform hate speech detection ... abusive words lexicon in a cross-domain abusive language detection setting.

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

Linguistics document from Arizona State University, 8 pages, Cross-domain and Cross-lingual Abusive Language Detection: a Hybrid Approach with Deep Learning ...

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, ...

Transfer Learning for Abusive Language Detection - Inria

Secondly, we explore some popular Unsupervised Domain ... cross-corpus abusive language detection. Our analysis reveals their ...

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 ...

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 ...

Unsupervised Domain Adaptation in Cross-corpora Abusive ...

This motivates us to explore UDA for cross-corpora abusive language detection. A task related to abuse detection is sentiment classification ( ...

Cross-Domain Detection of Abusive Language Online. | PUMA

Cross-Domain Detection of Abusive Language Online. M. Karan, and J. Snajder. ALW, page 132-137. Association for Computational Linguistics, (2018 ). 1. 1. Meta ...

Investigating cross-lingual training for offensive language detection

Platforms that feature user-generated content (social media, online forums, newspaper comment sections etc.) have to detect and filter ...

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 ...