UNBNLP at SemEval-2019 Task 5 and 6: Using Language Models to Detect Hate Speech and Offensive Language

2019-06-01 · SEMEVAL 2019 6 · Ali Hakimi Parizi, Milton King, Paul Cook

In this paper we apply a range of approaches to language modeling {--} including word-level n-gram and neural language models, and character-level neural language models {--} to the problem of detecting hate speech and offensive language. Our findings indicate that language models are able to capture knowledge of whether text is hateful or offensive. However, our findings also indicate that more conventional approaches to text classification often perform similarly or better.

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Tasks

General ClassificationLanguage ModelingLanguage Modelling text-classification Text Classification

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Semantic Textual Similarity Word Embeddings

UNBNLP at SemEval-2021 Task 1: Predicting lexical complexity with masked language models and character-level encoders

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Lexical Complexity Prediction Prediction

LT3 at SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter (hatEval)

2019-06-01 · SEMEVAL 2019 6 · Nina Bauwelinck, Gilles Jacobs, V{\'e}ronique Hoste, Els Lefever

This paper describes our contribution to the SemEval-2019 Task 5 on the detection of hate speech against immigrants and women in Twitter (hatEval). We considered a supervised classification-based approach to detect hate …

Classification General Classification

The Titans at SemEval-2019 Task 5: Detection of hate speech against immigrants and women in Twitter

2019-06-01 · SEMEVAL 2019 6 · Avishek Garain, Arpan Basu

This system paper is a description of the system submitted to {''}SemEval-2019 Task 5{''} Task B for the English language, where we had to primarily detect hate speech and then detect aggressive behaviour and its target …

Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter at SemEval-2019 Task 5: Frequency Analysis Interpolation for Hate in Speech Detection

2019-06-01 · SEMEVAL 2019 6 · {\`O}scar Garibo i Orts

This document describes a text change of representation approach to the task of Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter, as part of SemEval-2019 1 . The task is divided in two sub-ta…