OffensEval 2023: Offensive language identification in the age of Large Language Models
The OffensEval shared tasks organized as part of SemEval-2019–2020 were very popular,
attracting over 1300 participating teams. The two editions of the shared task helped advance …
attracting over 1300 participating teams. The two editions of the shared task helped advance …
Automatic readability assessment of German sentences with transformer ensembles
PG Blaneck, T Bornheim, N Grieger… - arXiv preprint arXiv …, 2022 - arxiv.org
Reliable methods for automatic readability assessment have the potential to impact a variety
of fields, ranging from machine translation to self-informed learning. Recently, large …
of fields, ranging from machine translation to self-informed learning. Recently, large …
The problem of varying annotations to identify abusive language in social media content
N Seemann, YS Lee, J Höllig… - Natural Language …, 2023 - cambridge.org
With the increase of user-generated content on social media, the detection of abusive
language has become crucial and is therefore reflected in several shared tasks that have …
language has become crucial and is therefore reflected in several shared tasks that have …
Mbti personality prediction based on bert classification
H Zhang - Highlights in Science, Engineering and Technology, 2023 - drpress.org
Young people today tend to express their feelings and socialize on the internet instead of in
real life, which makes social media practical in defining one's personality since their …
real life, which makes social media practical in defining one's personality since their …
POLygraph: Polish Fake News Dataset
D Dzienisiewicz, F Graliński, P Jabłoński… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper presents the POLygraph dataset, a unique resource for fake news detection in
Polish. The dataset, created by an interdisciplinary team, is composed of two parts: the" fake …
Polish. The dataset, created by an interdisciplinary team, is composed of two parts: the" fake …
LCT-1 at SemEval-2023 Task 10: Pre-training and Multi-task Learning for Sexism Detection and Classification
K Chernyshev, E Garanina, D Bayram, Q Zheng… - arXiv preprint arXiv …, 2023 - arxiv.org
Misogyny and sexism are growing problems in social media. Advances have been made in
online sexism detection but the systems are often uninterpretable. SemEval-2023 Task 10 …
online sexism detection but the systems are often uninterpretable. SemEval-2023 Task 10 …
Assessing In-context Learning and Fine-tuning for Topic Classification of German Web Data
Researchers in the political and social sciences often rely on classification models to
analyze trends in information consumption by examining browsing histories of millions of …
analyze trends in information consumption by examining browsing histories of millions of …
Detecting Sexism in German Online Newspaper Comments with Open-Source Text Embeddings (Team GDA, GermEval2024 Shared Task 1: GerMS-Detect, Subtasks …
F Bremm, PG Blaneck, T Bornheim, N Grieger… - arXiv preprint arXiv …, 2024 - arxiv.org
Sexism in online media comments is a pervasive challenge that often manifests subtly,
complicating moderation efforts as interpretations of what constitutes sexism can vary …
complicating moderation efforts as interpretations of what constitutes sexism can vary …
Constructing ensembles for hate speech detection
IE Kucukkaya, C Toraman - Natural Language Processing, 2024 - cambridge.org
Hate speech against individuals and groups with certain demographics is a major issue in
social media. Supervised models for hate speech detection mostly utilize labeled data …
social media. Supervised models for hate speech detection mostly utilize labeled data …
Offensive text detection across languages and datasets using rule-based and hybrid methods
We investigate the potential of rule-based systems for the task of offensive text detection in
English and German, and demonstrate their effectiveness in low-resource settings, as an …
English and German, and demonstrate their effectiveness in low-resource settings, as an …