2 citations · 3 across the 6 of their papers we have counts for
8 papers
Politeness Stereotypes and Attack Vectors: Gender Stereotypes in Japanese and Korean Language Models
Victor Steinborn, Antonis Maronikolakis, Hinrich Schütze
In efforts to keep up with the rapid progress and use of large language models, gender bias research is becoming more prevalent in NLP. Non-English bias research, however, is still…
Sociocultural knowledge is needed for selection of shots in hate speech detection tasks
Antonis Maronikolakis, Abdullatif Köksal, Hinrich Schütze
We introduce HATELEXICON, a lexicon of slurs and targets of hate speech for the countries of Brazil, Germany, India and Kenya, to aid training and interpretability of models. We de…
This joke is [MASK]: Recognizing Humor and Offense with Prompting
Junze Li, Mengjie Zhao, Yubo Xie +3
Humor is a magnetic component in everyday human interactions and communications. Computationally modeling humor enables NLP systems to entertain and engage with users. We investiga…
Analyzing Hate Speech Data along Racial, Gender and Intersectional Axes
Antonis Maronikolakis, Philip Baader, Hinrich Schütze
To tackle the rising phenomenon of hate speech, efforts have been made towards data curation and analysis. When it comes to analysis of bias, previous work has focused predominantl…
Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments
Antonis Maronikolakis, Axel Wisiorek, Leah Nann +3
Building on current work on multilingual hate speech (e.g., Ousidhoum et al. (2019)) and hate speech reduction (e.g., Sap et al. (2020)), we present XTREMESPEECH, a new hate speech…
BERT Cannot Align Characters
Antonis Maronikolakis, Philipp Dufter, Hinrich Schütze
In previous work, it has been shown that BERT can adequately align cross-lingual sentences on the word level. Here we investigate whether BERT can also operate as a char-level alig…
Wine is Not v i n. -- On the Compatibility of Tokenizations Across Languages
Antonis Maronikolakis, Philipp Dufter, Hinrich Schütze
The size of the vocabulary is a central design choice in large pretrained language models, with respect to both performance and memory requirements. Typically, subword tokenization…
Analyzing Political Parody in Social Media
Antonis Maronikolakis, Danae Sanchez Villegas, Daniel Preotiuc-Pietro +1
Parody is a figurative device used to imitate an entity for comedic or critical purposes and represents a widespread phenomenon in social media through many popular parody accounts…